no code implementations • COLING 2022 • Xueyuan Chen, Shun Lei, Zhiyong Wu, Dong Xu, Weifeng Zhao, Helen Meng
On top of these, a bi-reference attention mechanism is used to align both local-scale reference style embedding sequence and local-scale context style embedding sequence with corresponding phoneme embedding sequence.
no code implementations • 7 May 2024 • Zhenghao Chen, Luping Zhou, Zhihao Hu, Dong Xu
Content-adaptive compression is crucial for enhancing the adaptability of the pre-trained neural codec for various contents.
no code implementations • 4 Apr 2024 • Zhongkai Wu, Ziyu Wan, Jing Zhang, Jing Liao, Dong Xu
Instead of reconstructing a blurred NeRF by averaging inconsistencies, we introduce a novel approach using Generative Adversarial Networks (GANs) for NeRF generation to better accommodate the geometric and appearance inconsistencies present in the multi-view images.
no code implementations • 22 Mar 2024 • Jinge Wang, Zien Cheng, Qiuming Yao, Li Liu, Dong Xu, Gangqing Hu
The year 2023 marked a significant surge in the exploration of applying large language model (LLM) chatbots, notably ChatGPT, across various disciplines.
no code implementations • 4 Feb 2024 • Jincao Yao, Yunpeng Wang, Zhikai Lei, Kai Wang, Xiaoxian Li, Jianhua Zhou, Xiang Hao, Jiafei Shen, Zhenping Wang, Rongrong Ru, Yaqing Chen, Yahan Zhou, Chen Chen, YanMing Zhang, Ping Liang, Dong Xu
After training, ThyGPT could automatically evaluate thyroid nodule and engage in effective communication with physicians through human-computer interaction.
no code implementations • 28 Jan 2024 • Bowen Tang, Long Yan, Jing Zhang, Qian Yu, Lu Sheng, Dong Xu
Firstly, to recover the virtual features of the base data, we model the CLIP features of base class images as samples from a von Mises-Fisher (vMF) distribution based on the pre-trained classifier.
2 code implementations • 19 Jan 2024 • Hai Duong, Dong Xu, ThanhVu Nguyen, Matthew B. Dwyer
We evaluate the effectiveness of VeriStable across a range of challenging benchmarks including fully-connected feedforward networks (FNNs), convolutional neural networks (CNNs) and residual networks (ResNets) applied to the standard MNIST and CIFAR datasets.
1 code implementation • 27 Dec 2023 • Xiawei Li, Qingyuan Xu, Jing Zhang, Tianyi Zhang, Qian Yu, Lu Sheng, Dong Xu
The point affinity proposed in this paper is characterized by features from multiple modalities (e. g., point cloud and RGB), and is further refined by normalizing the classifier weights to alleviate the detrimental effects of long-tailed distribution without the need of the prior of category distribution.
1 code implementation • 27 Dec 2023 • XiMing Xing, Haitao Zhou, Chuang Wang, Jing Zhang, Dong Xu, Qian Yu
However, existing text-to-SVG generation methods lack editability and struggle with visual quality and result diversity.
no code implementations • 10 Dec 2023 • Maomao Li, Yu Li, Tianyu Yang, Yunfei Liu, Dongxu Yue, Zhihui Lin, Dong Xu
This paper presents a video inversion approach for zero-shot video editing, which aims to model the input video with low-rank representation during the inversion process.
no code implementations • 27 Nov 2023 • Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao
Conventional Federated Domain Adaptation (FDA) approaches usually demand an abundance of assumptions, which makes them significantly less feasible for real-world situations and introduces security hazards.
1 code implementation • 27 Nov 2023 • Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu
Unlike previous works that focus on feature extractor adaptation, our PTSFA approach focuses on classifier adaptation.
1 code implementation • 4 Nov 2023 • Fei He, Zhiyuan Yang, Mingyue Gao, Biplab Poudel, Newgin Sam Ebin Sam Dhas, Rajan Gyawali, Ashwin Dhakal, Jianlin Cheng, Dong Xu
Cryo-electron microscopy (cryo-EM) remains pivotal in structural biology, yet the task of protein particle picking, integral for 3D protein structure construction, is laden with manual inefficiencies.
2 code implementations • 23 Oct 2023 • Maomao Li, Ge Yuan, Cairong Wang, Zhian Liu, Yong Zhang, Yongwei Nie, Jue Wang, Dong Xu
Based on this disentanglement, face swapping can be simplified as style and mask swapping.
1 code implementation • 6 Sep 2023 • Jinglong Wang, Xiawei Li, Jing Zhang, Qingyuan Xu, Qin Zhou, Qian Yu, Lu Sheng, Dong Xu
The pre-trained text-image discriminative models, such as CLIP, has been explored for open-vocabulary semantic segmentation with unsatisfactory results due to the loss of crucial localization information and awareness of object shapes.
1 code implementation • 15 Aug 2023 • XiMing Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu
In the full-control inversion process, we propose an appearance-energy function to control the color and texture of the final generated photo. Importantly, our Inversion-by-Inversion pipeline is training-free and can accept different types of exemplars for color and texture control.
1 code implementation • 7 Aug 2023 • Yinjie Zhao, Lichen Zhao, Qian Yu, Jing Zhang, Lu Sheng, Dong Xu
The first is a Distortion Mapping Module, which guides the model to pre-adapt to distorted features globally.
1 code implementation • 1 Aug 2023 • Yubin Xiao, Di Wang, Boyang Li, Huanhuan Chen, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, You Zhou
The Traveling Salesman Problem (TSP) is a well-known combinatorial optimization problem with broad real-world applications.
no code implementations • 26 Jul 2023 • Zhihao Hu, Dong Xu
In this work, by using the diffusion model with ControlNet, we proposed a new motion-guided video-to-video translation framework called VideoControlNet to generate various videos based on the given prompts and the condition from the input video.
1 code implementation • NeurIPS 2023 • XiMing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu
Even though trained mainly on images, we discover that pretrained diffusion models show impressive power in guiding sketch synthesis.
no code implementations • 18 Jun 2023 • Hangjian Li, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee, Wei Shen
Online retailers often use third-party demand-side-platforms (DSPs) to conduct offsite advertising and reach shoppers across the Internet on behalf of their advertisers.
no code implementations • 24 May 2023 • Yiming Chen, Sihui Wang, Dong Xu
The knowledge of the unique characteristics of the population with atrial fibrillation detected after stroke (AFDAS) enables more ischemic stroke patients to benefit from more aggressive anticoagulation therapy and AF management.
no code implementations • 4 Apr 2023 • Yunyi Liu, Zhanyu Wang, Dong Xu, Luping Zhou
To bridge this gap, in this paper, we propose a new Transformer based framework for medical VQA (named as Q2ATransformer), which integrates the advantages of both the classification and the generation approaches and provides a unified treatment for the close-end and open-end questions.
1 code implementation • CVPR 2023 • Ziqin Wang, Bowen Cheng, Lichen Zhao, Dong Xu, Yang Tang, Lu Sheng
Since 2D images provide rich semantics and scene graphs are in nature coped with languages, in this study, we propose Visual-Linguistic Semantics Assisted Training (VL-SAT) scheme that can significantly empower 3DSSG prediction models with discrimination about long-tailed and ambiguous semantic relations.
Ranked #1 on 3d scene graph generation on 3DSSG (using extra training data)
1 code implementation • 21 Mar 2023 • Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P. -W. Lo, Bo Xiao, Wu Yuan, Ningli Wang, Dong Xu, Benny Lo
Large AI models, or foundation models, are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions.
1 code implementation • CVPR 2023 • Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong, Luping Zhou
In this work, we propose a new conflict-based cross-view consistency (CCVC) method based on a two-branch co-training framework which aims at enforcing the two sub-nets to learn informative features from irrelevant views.
no code implementations • 23 Feb 2023 • Erjian Guo, Huazhu Fu, Luping Zhou, Dong Xu
Moreover, we also propose a novel multi-stage multi-attention guided enhancement network (MAGE-Net) as the backbones of our teacher and student network.
no code implementations • 13 Feb 2023 • Zhiye Guo, Jian Liu, Yanli Wang, Mengrui Chen, Duolin Wang, Dong Xu, Jianlin Cheng
This review aims to provide a rather thorough overview of the applications of diffusion models in bioinformatics to aid their further development in bioinformatics and computational biology.
no code implementations • CVPR 2023 • Zhihao Hu, Dong Xu
In this work, we propose the complexity-guided slimmable decoder (cgSlimDecoder) in combination with skip-adaptive entropy coding (SaEC) for efficient deep video compression.
no code implementations • 20 Dec 2022 • Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu
Although several content adaptive methods have been proposed by updating the encoder-side components, the adaptability of both latents and the decoder is not well exploited.
no code implementations • 21 Nov 2022 • Weiqi Sun, Rui Su, Qian Yu, Dong Xu
Weakly supervised temporal action localization (WTAL) aims to localize actions in untrimmed videos with only weak supervision information (e. g. video-level labels).
Weakly-supervised Temporal Action Localization Weakly Supervised Temporal Action Localization
1 code implementation • 24 Sep 2022 • Lichen Zhao, Daigang Cai, Jing Zhang, Lu Sheng, Dong Xu, Rui Zheng, Yinjie Zhao, Lipeng Wang, Xibo Fan
We also propose a new 3D VQA framework to effectively predict the completely visually grounded and explainable answer.
1 code implementation • 31 Aug 2022 • ZiMing Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu
In addition to previous methods that seek correspondences by hand-crafted or learnt geometric features, recent point cloud registration methods have tried to apply RGB-D data to achieve more accurate correspondence.
1 code implementation • 14 Aug 2022 • Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu
Reconstructing a 3D shape based on a single sketch image is challenging due to the large domain gap between a sparse, irregular sketch and a regular, dense 3D shape.
no code implementations • CVPR 2022 • Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu
The previous deep video compression approaches only use the single scale motion compensation strategy and rarely adopt the mode prediction technique from the traditional standards like H. 264/H. 265 for both motion and residual compression.
no code implementations • 13 Mar 2022 • Feiyu Wang, Qin Wang, Wen Li, Dong Xu, Luc van Gool
Benefited from this new perspective, we first propose a new deep semi-supervised learning framework called Semi-supervised Learning by Empirical Distribution Alignment (SLEDA), in which existing technologies from the domain adaptation community can be readily used to address the semi-supervised learning problem through reducing the empirical distribution distance between labeled and unlabeled data.
no code implementations • CVPR 2022 • Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu
In this work, we propose the first end-to-end optimized framework for compressing automotive stereo videos (i. e., stereo videos from autonomous driving applications) from both left and right views.
no code implementations • CVPR 2022 • Daigang Cai, Lichen Zhao, Jing Zhang, Lu Sheng, Dong Xu
Observing that the 3D captioning task and the 3D grounding task contain both shared and complementary information in nature, in this work, we propose a unified framework to jointly solve these two distinct but closely related tasks in a synergistic fashion, which consists of both shared task-agnostic modules and lightweight task-specific modules.
no code implementations • CVPR 2022 • Guo Lu, Tianxiong Zhong, Jing Geng, Qiang Hu, Dong Xu
Specifically, given the image in the reference modality (e. g., the infrared image), we use the channel-wise alignment module to produce the aligned features based on the affine transform.
1 code implementation • 30 Nov 2021 • Sen Wang, Hengchao Wang, Fan Jiang, Anqi Wang, Hangwei Liu, Hanbo Zhao, Boyuan Yang, Dong Xu, Yan Zhang, Wei Fan
As the Hi-C links of two adjacent contigs concentrate only at the neighbor ends of the contigs, larger contig size will reduce the power to differentiate adjacent (signal) and non-adjacent (noise) contig linkages, leading to a higher rate of mis-assembly.
1 code implementation • CVPR 2021 • Weichen Zhang, Wen Li, Dong Xu
In this work, we propose a new cross-dataset 3D object detection method named Scale-aware and Range-aware Domain Adaptation Network (SRDAN).
1 code implementation • 14 Jun 2021 • MingHan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
In this paper, a novel second-order method called NG+ is proposed.
no code implementations • 26 May 2021 • Jinyang Guo, Dong Xu, Guo Lu
Furthermore, to achieve variable bitrate decoding with one single decoder, we propose a bitrate adaptive module to project the representation from a base bitrate to the expected representation at a target bitrate for transmission.
no code implementations • CVPR 2021 • Zhihao Hu, Guo Lu, Dong Xu
In this work, we propose a feature-space video coding network (FVC) by performing all major operations (i. e., motion estimation, motion compression, motion compensation and residual compression) in the feature space.
no code implementations • CVPR 2021 • Zizheng Que, Guo Lu, Dong Xu
In this paper, we propose a two-stage deep learning framework called VoxelContext-Net for both static and dynamic point cloud compression.
1 code implementation • CVPR 2021 • Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu
Inspired by the back-tracing strategy in the conventional Hough voting methods, in this work, we introduce a new 3D object detection method, named as Back-tracing Representative Points Network (BRNet), which generatively back-traces the representative points from the vote centers and also revisits complementary seed points around these generated points, so as to better capture the fine local structural features surrounding the potential objects from the raw point clouds.
Ranked #17 on 3D Object Detection on ScanNetV2
no code implementations • 26 Mar 2021 • Jiayi Tian, Jing Zhang, Wen Li, Dong Xu
On the other hand, we also design an effective distribution alignment method to reduce the distribution divergence between the virtual domain and the target domain by gradually improving the compactness of the target domain distribution through model learning.
3 code implementations • 19 Jan 2021 • Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao
We define the concept of integrity at both a micro and macro level.
no code implementations • 1 Jan 2021 • Eleanor Quint, Dong Xu, Samuel W Flint, Stephen D Scott, Matthew Dwyer
In order to satisfy safety conditions, an agent may be constrained from acting freely.
no code implementations • ICCV 2021 • Lichen Zhao, Daigang Cai, Lu Sheng, Dong Xu
Visual grounding on 3D point clouds is an emerging vision and language task that benefits various applications in understanding the 3D visual world.
1 code implementation • ICCV 2021 • Xiaolei Wu, Zhihao Hu, Lu Sheng, Dong Xu
In this work, we propose a new feed-forward arbitrary style transfer method, referred to as StyleFormer, which can simultaneously fulfill fine-grained style diversity and semantic content coherency.
no code implementations • ICCV 2021 • Rui Su, Qian Yu, Dong Xu
Spatio-temporal video grounding (STVG) aims to localize a spatio-temporal tube of a target object in an untrimmed video based on a query sentence.
1 code implementation • CVPR 2021 • Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu
To develop a practical method for learning complex inception convolution based on the data, a simple but effective search algorithm, referred to as efficient dilation optimization (EDO), is developed.
1 code implementation • 10 Nov 2020 • Zongheng Tang, Yue Liao, Si Liu, Guanbin Li, Xiaojie Jin, Hongxu Jiang, Qian Yu, Dong Xu
HC-STVG is a video grounding task that requires both spatial (where) and temporal (when) localization.
1 code implementation • 7 Nov 2020 • Muhammad Hassan, Yan Wang, Di Wang, Daixi Li, Yanchun Liang, You Zhou, Dong Xu
We collected 100, 000 shoeprints of subjects ranging from 7 to 80 years old and used the data to develop a deep learning end-to-end model ShoeNet to analyze age-related patterns and predict age.
no code implementations • 27 Oct 2020 • Hao Ma, Jingbin Liu, Zhirong Hu, Hongyu Qiu, Dong Xu, Zemin Wang, Xiaodong Gong, Sheng Yang
This paper designs a technique route to generate high-quality panoramic image with depth information, which involves two critical research hotspots: fusion of LiDAR and image data and image stitching.
no code implementations • 27 Oct 2020 • Hao Ma, Jingbin Liu, Keke Liu, Hongyu Qiu, Dong Xu, Zemin Wang, Xiaodong Gong, Sheng Yang
Registration of 3D LiDAR point clouds with optical images is critical in the combination of multi-source data.
no code implementations • ECCV 2020 • Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu
In this work, we propose a new framework called Resolution-adaptive Flow Coding (RaFC) to effectively compress the flow maps globally and locally, in which we use multi-resolution representations instead of single-resolution representations for both the input flow maps and the output motion features of the MV encoder.
1 code implementation • 14 Jul 2020 • Dong Xu, David Shriver, Matthew B. Dwyer, Sebastian Elbaum
The field of verification has advanced due to the interplay of theoretical development and empirical evaluation.
no code implementations • 11 Jul 2020 • Dong Xu, Xiao Huang, Joseph Mango, Xiang Li, Zhenlong Li
We propose a multi-exit evacuation simulation based on Deep Reinforcement Learning (DRL), referred to as the MultiExit-DRL, which involves in a Deep Neural Network (DNN) framework to facilitate state-to-action mapping.
no code implementations • CVPR 2021 • Ming-Han Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen
In this paper, we consider stochastic second-order methods for minimizing a finite summation of nonconvex functions.
1 code implementation • 10 Jun 2020 • Ming-Han Yang, Dong Xu, Zaiwen Wen, Mengyun Chen, Pengxiang Xu
Experiments on the distributed large-batch training show that the scaling efficiency is quite reasonable.
no code implementations • ECCV 2020 • Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao
Therefore, the encoder is adaptive to different video contents and achieves better compression performance by reducing the domain gap between the training and testing datasets.
no code implementations • 15 Mar 2020 • Jinyang Guo, Wanli Ouyang, Dong Xu
To this end, we propose a new strategy to suppress the influence of unimportant features (i. e., the features will be removed at the next pruning stage).
1 code implementation • 9 Feb 2020 • Jiaheng Liu, Guo Lu, Zhihao Hu, Dong Xu
Our EDIC method can also be readily incorporated with the Deep Video Compression (DVC) framework to further improve the video compression performance.
no code implementations • 28 Dec 2019 • Xiao Huang, Dong Xu, Zhenlong Li, Cuizhen Wang
The results of this study prove the possibility of multispectral-to-nighttime translation and further indicate that, with the additional social media data, the generated nighttime imagery can be very similar to the ground-truth imagery.
1 code implementation • 2 Oct 2019 • Eleanor Quint, Dong Xu, Samuel Flint, Stephen Scott, Matthew Dwyer
In order to satisfy safety conditions, an agent may be constrained from acting freely.
no code implementations • 21 Sep 2019 • Zehui Yao, Boyan Zhang, Zhiyong Wang, Wanli Ouyang, Dong Xu, Dagan Feng
For example, given two image domains $X_1$ and $X_2$ with certain attributes, the intersection $X_1 \cap X_2$ denotes a new domain where images possess the attributes from both $X_1$ and $X_2$ domains.
2 code implementations • 6 Aug 2019 • David Shriver, Dong Xu, Sebastian Elbaum, Matthew B. Dwyer
Deep neural networks (DNN) are growing in capability and applicability.
1 code implementation • 26 Jul 2019 • Ming Liu, Dongpeng Liu, Guangyu Sun, Yi Zhao, Duolin Wang, Fangxing Liu, Xiang Fang, Qing He, Dong Xu
Detecting inaccurate smart meters and targeting them for replacement can save significant resources.
no code implementations • CVPR 2019 • Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu
Specifically, we first generate a larger set of region proposals by combining the latest region proposals from both streams, from which we can readily obtain a larger set of labelled training samples to help learn better action detection models.
no code implementations • 26 May 2019 • Dong Xu, Jianhui Ji, Haikuan Huang, Hongbo Deng, Wu-Jun Li
Nevertheless, it is difficult for RNN based models to capture the information about long-range dependency among words in the sentences of questions and answers.
no code implementations • 26 May 2019 • Dong Xu, Wu-Jun Li
HAS adopts a hashing strategy to learn a binary matrix representation for each answer, which can dramatically reduce the memory cost for storing the matrix representations of answers.
4 code implementations • CVPR 2019 • Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao
Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information.
no code implementations • 27 Sep 2018 • Dong Xu, Eleanor Quint, Zeynep Hakguder, Haluk Dogan, Stephen Scott, Matthew Dwyer
We study the problem of deep reinforcement learning where the agent's action sequences are constrained, e. g., prohibition of dithering or overactuating action sequences that might damage a robot, drone, or other physical device.
no code implementations • ECCV 2018 • Dongang Wang, Wanli Ouyang, Wen Li, Dong Xu
We then train view-specific action classifiers based on the view-specific representation for each view and a view classifier based on the shared representation at lower layers.
1 code implementation • ECCV 2018 • Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Zhiyong Gao, Ming-Ting Sun
In this paper, we model the video artifact reduction task as a Kalman filtering procedure and restore decoded frames through a deep Kalman filtering network.
1 code implementation • CVPR 2018 • Weichen Zhang, Wanli Ouyang, Wen Li, Dong Xu
In this paper, we propose a new unsupervised domain adaptation approach called Collaborative and Adversarial Network (CAN) through domain-collaborative and domain-adversarial training of neural networks.
no code implementations • ICCV 2017 • Hehe Fan, Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, Alexander G. Hauptmann
relevant) to the given event class, we formulate this task as a multi-instance learning (MIL) problem by taking each video as a bag and the video shots in each video as instances.
no code implementations • 12 Sep 2017 • Chao Fang, Yi Shang, Dong Xu
Results: Here, a very deep neural network, the deep inception-inside-inception networks (Deep3I), is proposed for protein secondary structure prediction and a software tool was implemented using this network.
no code implementations • 19 Jul 2017 • Erbo Li, Hanlin Mo, Dong Xu, Hua Li
In this paper, we propose relative projective differential invariants (RPDIs) which are invariant to general projective transformations.
no code implementations • CVPR 2017 • Dingwen Zhang, Le Yang, Deyu Meng, Dong Xu, Junwei Han
Object segmentation in weakly labelled videos is an interesting yet challenging task, which aims at learning to perform category-specific video object segmentation by only using video-level tags.
no code implementations • 26 Jun 2017 • Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, Gang Wang
Skeleton-based human action recognition has attracted a lot of research attention during the past few years.
Ranked #6 on One-Shot 3D Action Recognition on NTU RGB+D 120
no code implementations • 11 May 2017 • Jing Zhang, Wanqing Li, Philip Ogunbona, Dong Xu
This paper takes a problem-oriented perspective and presents a comprehensive review of transfer learning methods, both shallow and deep, for cross-dataset visual recognition.
no code implementations • 7 Mar 2017 • Erbo Li, Yazhou Huang, Dong Xu, Hua Li
Two fundamental building blocks or generating functions (GFs) for invariants are discovered, which are dot product and vector product of point vectors in Euclidean space.
no code implementations • 22 Nov 2016 • Tianrong Rao, Min Xu, Dong Xu
The proposed MldrNet combines deep representations of different levels, i. e. image semantics, image aesthetics, and low-level visual features to effectively classify the emotion types of different kinds of images, such as abstract paintings and web images.
no code implementations • European Conference on Computer Vision 2016 • Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang
Matching pedestrians across multiple camera views known as human re-identification (re-identification) is a challenging problem in visual surveillance.
no code implementations • 24 Jul 2016 • Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang
To handle the noise and occlusion in 3D skeleton data, we introduce new gating mechanism within LSTM to learn the reliability of the sequential input data and accordingly adjust its effect on updating the long-term context information stored in the memory cell.
Ranked #8 on Skeleton Based Action Recognition on SBU
no code implementations • 19 Jun 2016 • Dong Xu, Wu-Jun Li
Hence, these existing models don't put supervision (loss or similarity calculation) at every time step, which will lose some useful information.
no code implementations • CVPR 2016 • Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton Van Den Hengel, Qinfeng Shi
Trace-norm regularization plays an important role in many areas such as machine learning and computer vision.
no code implementations • CVPR 2016 • Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc van Gool
The SVM+ approach has shown excellent performance in visual recognition tasks for exploiting privileged information in the training data.
no code implementations • 3 Jan 2016 • Tongliang Liu, DaCheng Tao, Dong Xu
Can we obtain dimensionality-dependent generalization bounds for $k$-dimensional coding schemes that are tighter than dimensionality-independent bounds when data is in a finite-dimensional feature space?
no code implementations • ICCV 2015 • Li Niu, Wen Li, Dong Xu
Considering the recent works show the domain generalization capability can be enhanced by fusing multiple SVM classifiers, we build upon exemplar SVMs to learn a set of SVM classifiers by using one positive sample and all negative samples in the source domain each time.
no code implementations • CVPR 2015 • Huazhu Fu, Dong Xu, Stephen Lin, Jiang Liu
We present an object-based co-segmentation method that takes advantage of depth data and is able to correctly handle noisy images in which the common foreground object is missing.
no code implementations • CVPR 2015 • Li Niu, Wen Li, Dong Xu
In this work, we formulate a new weakly supervised domain generalization problem for the visual recognition task by using loosely labeled web images/videos as training data.
no code implementations • CVPR 2015 • Shijie Xiao, Wen Li, Dong Xu, DaCheng Tao
In this paper, we develop a fast LRR solver called FaLRR, by reformulating LRR as a new optimization problem with regard to factorized data (which is obtained by skinny SVD of the original data matrix).
no code implementations • 10 Mar 2015 • Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton Van Den Hengel, Qinfeng Shi
Nuclear-norm regularization plays a vital role in many learning tasks, such as low-rank matrix recovery (MR), and low-rank representation (LRR).
no code implementations • CVPR 2014 • Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin
We present a video co-segmentation method that uses category-independent object proposals as its basic element and can extract multiple foreground objects in a video set.
no code implementations • CVPR 2014 • Lin Chen, Wen Li, Dong Xu
In this work, we propose a new framework for recognizing RGB images captured by the conventional cameras by leveraging a set of labeled RGB-D data, in which the depth features can be additionally extracted from the depth images.
no code implementations • CVPR 2013 • Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen
Spatial-Temporal Face Region Descriptor, STFRD) for images (resp.
no code implementations • CVPR 2013 • Lin Chen, Lixin Duan, Dong Xu
In this work, we propose to leverage a large number of loosely labeled web videos (e. g., from YouTube) and web images (e. g., from Google/Bing image search) for visual event recognition in consumer videos without requiring any labeled consumer videos.
no code implementations • CVPR 2013 • Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma
Our framework is motivated by the observation that samples from the same class repetitively appear in the collection of ambiguously labeled training images, while they are just ambiguously labeled in each image.