no code implementations • ECCV 2020 • Qingqiu Huang, Lei Yang, Huaiyi Huang, Tong Wu, Dahua Lin
Captioned images are widely available on the web, while the captions often contain the names of the subjects in the images.
no code implementations • 2 May 2024 • Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal
Current research on defending against adversarial examples focuses primarily on achieving robustness against a single attack type such as $\ell_2$ or $\ell_{\infty}$-bounded attacks.
no code implementations • 25 Apr 2024 • Ye Fang, Zeyi Sun, Tong Wu, Jiaqi Wang, Ziwei Liu, Gordon Wetzstein, Dahua Lin
Physically realistic materials are pivotal in augmenting the realism of 3D assets across various applications and lighting conditions.
no code implementations • 22 Apr 2024 • Armando Zhu, Keqin Li, Tong Wu, Peng Zhao, Bo Hong
With wearing masks becoming a new cultural norm, facial expression recognition (FER) while taking masks into account has become a significant challenge.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 15 Apr 2024 • Tong Wu, Jia-Mu Sun, Yu-Kun Lai, Yuewen Ma, Leif Kobbelt, Lin Gao
To address these issues, we introduce DeferredGS, a method for decoupling and editing the Gaussian splatting representation using deferred shading.
no code implementations • 19 Mar 2024 • Yongwei Chen, Tengfei Wang, Tong Wu, Xingang Pan, Kui Jia, Ziwei Liu
Though promising results have been achieved in single object generation, these methods often struggle to model complex 3D assets that inherently contain multiple objects.
no code implementations • 17 Mar 2024 • Tong Wu, Yu-Jie Yuan, Ling-Xiao Zhang, Jie Yang, Yan-Pei Cao, Ling-Qi Yan, Lin Gao
The emergence of 3D Gaussian Splatting (3DGS) has greatly accelerated the rendering speed of novel view synthesis.
1 code implementation • 4 Mar 2024 • Fangzhou Hong, Jiaxiang Tang, Ziang Cao, Min Shi, Tong Wu, Zhaoxi Chen, Shuai Yang, Tengfei Wang, Liang Pan, Dahua Lin, Ziwei Liu
Specifically, it is powered by a text-conditioned tri-plane latent diffusion model, which quickly generates coarse 3D samples for fast prototyping.
no code implementations • 3 Mar 2024 • Linhan Xia, Junbang Liu, Tong Wu
This research presents a novel depth estimation algorithm based on a Transformer-encoder architecture, tailored for the NYU and KITTI Depth Dataset.
1 code implementation • 27 Feb 2024 • Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan Xu, Tong Wu, Ke Li, Xing Sun, Wengang Zhou, Houqiang Li
We propose the Sinkhorn Knowledge Distillation (SinKD) that exploits the Sinkhorn distance to ensure a nuanced and precise assessment of the disparity between teacher and student distributions.
no code implementations • 24 Jan 2024 • Shoujie Li, Ran Yu, Tong Wu, JunWen Zhong, Xiao-Ping Zhang, Wenbo Ding
In this work, we propose a framework named GExp, which enables robots to explore and learn autonomously without human intervention.
1 code implementation • 8 Jan 2024 • Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas Guibas, Dahua Lin, Gordon Wetzstein
These metrics lack the flexibility to generalize to different evaluation criteria and might not align well with human preferences.
1 code implementation • 5 Jan 2024 • DeepSeek-AI, :, Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, JianZhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, A. X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou
The rapid development of open-source large language models (LLMs) has been truly remarkable.
no code implementations • 26 Dec 2023 • Madiha Fatima, Zhihua Cao, Aichun Huang, Shengyuan Wu, Xinxian Fan, Yi Wang, Liu Jiren, Ziyun Zhu, Qiongrou Ye, Yuan Ma, Joseph K. F Chow, Peng Jia, Yangshou Liu, Yubin Lin, Manjun Ye, Tong Wu, ZHIXUN LI, Cong Cai, Wenhai Zhang, Cheris H. Q. Ding, Yuanzhe Cai, Feijuan Huang
With the global spread and increasing transmission rate of SARS-CoV-2, more and more laboratories and researchers are turning their attention to wastewater-based epidemiology (WBE), hoping it can become an effective tool for large-scale testing and provide more ac-curate predictions of the number of infected individuals.
1 code implementation • 22 Dec 2023 • Zhangyang Qi, Ye Fang, Mengchen Zhang, Zeyi Sun, Tong Wu, Ziwei Liu, Dahua Lin, Jiaqi Wang, Hengshuang Zhao
We conducted a series of structured experiments to evaluate their performance in various industrial application scenarios, offering a comprehensive perspective on their practical utility.
1 code implementation • 20 Dec 2023 • Jiawei Yao, Xiaochao Pan, Tong Wu, Xiaofeng Zhang
In this paper, we introduce for the first time a large-scale aerial image dataset built for lane detection, with high-quality polyline lane annotations on high-resolution images of around 80 kilometers of road.
no code implementations • 7 Dec 2023 • Tong Wu, Zhibing Li, Shuai Yang, Pan Zhang, Xinggang Pan, Jiaqi Wang, Dahua Lin, Ziwei Liu
Extensive experiments demonstrate the effectiveness of HyperDreamer in modeling region-aware materials with high-resolution textures and enabling user-friendly editing.
1 code implementation • 6 Dec 2023 • Zeyi Sun, Ye Fang, Tong Wu, Pan Zhang, Yuhang Zang, Shu Kong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang
Alpha-CLIP not only preserves the visual recognition ability of CLIP but also enables precise control over the emphasis of image contents.
1 code implementation • 5 Dec 2023 • Zhangyang Qi, Ye Fang, Zeyi Sun, Xiaoyang Wu, Tong Wu, Jiaqi Wang, Dahua Lin, Hengshuang Zhao
Multimodal Large Language Models (MLLMs) have excelled in 2D image-text comprehension and image generation, but their understanding of the 3D world is notably deficient, limiting progress in 3D language understanding and generation.
no code implementations • 22 Nov 2023 • Tim Elsner, Julia Berger, Tong Wu, Victor Czech, Lin Gao, Leif Kobbelt
Seam carving is an image editing method that enable content-aware resizing, including operations like removing objects.
1 code implementation • 20 Nov 2023 • Tong Wu, Yulei Qin, Enwei Zhang, Zihan Xu, Yuting Gao, Ke Li, Xing Sun
However, existing embedding models for text retrieval usually have three non-negligible limitations.
1 code implementation • 19 Oct 2023 • Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal
State-of-the-art defenses against adversarial patch attacks can now achieve strong certifiable robustness with a marginal drop in model utility.
no code implementations • 9 Oct 2023 • Jiawei Yao, Chen Wang, Tong Wu, Chuming Li
In this paper, we propose a novel method for 3D scene and object reconstruction from sparse multi-view images.
no code implementations • 7 Oct 2023 • Zhishan Zhou, Zhi Lv, Shihao Zhou, Minqiang Zou, Tong Wu, Mochen Yu, Yao Tang, Jiajun Liang
This report introduce our work on Egocentric 3D Hand Pose Estimation workshop.
no code implementations • 14 Sep 2023 • Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu
To this end, we propose a novel triplane-based 3D-aware Diffusion model with TransFormer, DiffTF, for handling challenges via three aspects.
no code implementations • 16 Aug 2023 • Jiawei Yao, Tong Wu, Xiaofeng Zhang
To explore the differences between Transformers and CNNs, we employ a sparse pixel approach to contrastively analyze the distinctions between the two.
1 code implementation • 18 Jul 2023 • Tong Wu
Recently, tensor low-rank representation (TLRR) has become a popular tool for tensor data recovery and clustering, due to its empirical success and theoretical guarantees.
1 code implementation • 25 Jun 2023 • Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai
With recent advances in natural language processing, rationalization becomes an essential self-explaining diagram to disentangle the black box by selecting a subset of input texts to account for the major variation in prediction.
no code implementations • 8 Jun 2023 • Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi, Sean Peisert
In this paper, we present a notion of differential privacy (DP) for data that comes from different classes.
1 code implementation • NeurIPS 2023 • Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen
Diffusion models have gained significant attention in the realm of image generation due to their exceptional performance.
no code implementations • 2 May 2023 • Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal
Based on the general paradigm of DP-ICL, we instantiate several techniques showing how to privatize ICL for text classification and language generation.
no code implementations • 17 Apr 2023 • Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
In this paper, we propose a new differential privacy paradigm called estimate-verify-release (EVR), which addresses the challenges of providing a strict upper bound for privacy parameter in DP compositions by converting an estimate of privacy parameter into a formal guarantee.
no code implementations • ICCV 2023 • Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin
2) Hierarchical Category Organization: The vast vocabulary of V3Det is organized by a hierarchical category tree which annotates the inclusion relationship among categories, encouraging the exploration of category relationships in vast and open vocabulary object detection.
1 code implementation • 16 Mar 2023 • Tong Wu, Hao Wang, Zhongshen Zeng, Wei Wang, Hai-Tao Zheng, Jiaxing Zhang
Recently, there has been a surge in the use of generated data to enhance the performance of downstream models, largely due to the advancements in pre-trained language models.
no code implementations • 21 Feb 2023 • Tong Wu, Anna Scaglione, Daniel Arnold
This paper presents a novel primal-dual approach for learning optimal constrained DRL policies for dynamic optimal power flow problems, with the aim of controlling power generations and battery outputs.
no code implementations • 29 Jan 2023 • Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
Recently, test-time adaptation (TTA) has been proposed as a promising solution for addressing distribution shifts.
1 code implementation • 22 Jan 2023 • Tong Wu, Edoardo Manino, Fatimah Aljaafari, Pavlos Petoumenos, Lucas C. Cordeiro
We describe and evaluate LF-checker, a metaverifier tool based on machine learning.
1 code implementation • CVPR 2023 • Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu
Recent advances in modeling 3D objects mostly rely on synthetic datasets due to the lack of large-scale realscanned 3D databases.
no code implementations • ICCV 2023 • Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Ming-Ming Cheng
By aggregating vision-language information, the region filter selects key regions and the region adaptor updates their coordinates with text guidance.
1 code implementation • 22 Dec 2022 • Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen
In this paper, we introduce a novel dIffusion language modEl pre-training framework for text generation, which we call GENIE.
no code implementations • 28 Nov 2022 • Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Bo Ren, Ming-Ming Cheng
By aggregating cross-modal information, the region filter selects key regions and the region adaptor updates their coordinates with text guidance.
1 code implementation • 26 Aug 2022 • Tong Wu, Jiaqi Wang, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, Dahua Lin
Previous methods based on neural volume rendering mostly train a fully implicit model with MLPs, which typically require hours of training for a single scene.
no code implementations • 17 Aug 2022 • Tong Wu, Anna Scaglione, Daniel Arnold
The effective representation, precessing, analysis, and visualization of large-scale structured data over graphs are gaining a lot of attention.
no code implementations • 22 Jul 2022 • Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
Our attack can be easily deployed in the real world since it only requires rotating the object, as we show in both image classification and object detection applications.
no code implementations • 7 Jul 2022 • Jan Ondras, Abrar Anwar, Tong Wu, Fanjun Bu, Malte Jung, Jorge Jose Ortiz, Tapomayukh Bhattacharjee
While existing robotic systems for feeding people with mobility limitations focus on solitary dining, commensality, the act of eating together, is often the practice of choice.
2 code implementations • 26 May 2022 • Xiangyu Qi, Tinghao Xie, Jiachen T. Wang, Tong Wu, Saeed Mahloujifar, Prateek Mittal
First, we uncover a post-hoc workflow underlying most prior work, where defenders passively allow the attack to proceed and then leverage the characteristics of the post-attacked model to uncover poison samples.
no code implementations • 31 Mar 2022 • Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel Arnold
This paper proposes a model-free Volt-VAR control (VVC) algorithm via the spatio-temporal graph ConvNet-based deep reinforcement learning (STGCN-DRL) framework, whose goal is to control smart inverters in an unbalanced distribution system.
no code implementations • 16 Mar 2022 • Diu Khue Luu, Anh Tuan Nguyen, Ming Jiang, Markus W. Drealan, Jian Xu, Tong Wu, Wing-kin Tam, Wenfeng Zhao, Brian Z. H. Lim, Cynthia K. Overstreet, Qi Zhao, Jonathan Cheng, Edward W. Keefer, Zhi Yang
Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines.
2 code implementations • 22 Dec 2021 • Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez-Fernández, Qinlong Wang, Yang Yang
Based on the MVP dataset, this paper reports methods and results in the Multi-View Partial Point Cloud Challenge 2021 on Completion and Registration.
1 code implementation • NeurIPS 2021 • Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin
We adopt DCD to evaluate the point cloud completion task, where experimental results show that DCD pays attention to both the overall structure and local geometric details and provides a more reliable evaluation even when CD and EMD contradict each other.
1 code implementation • 24 Nov 2021 • Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin
We adopt DCD to evaluate the point cloud completion task, where experimental results show that DCD pays attention to both the overall structure and local geometric details and provides a more reliable evaluation even when CD and EMD contradict each other.
1 code implementation • NeurIPS 2021 • Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin
1) In the association step, in contrast to implicitly leveraging multiple base classes, we construct a compact novel class feature space via explicitly imitating a specific base class feature space.
no code implementations • 24 Aug 2021 • Zhuolin Qu, Tong Wu, James Mac Hyman
Field trials and modeling studies have shown that the fraction of infection among the mosquitoes must exceed a threshold level for the infection to persist.
no code implementations • 6 Jul 2021 • Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang
In addition, the model is optimized by fine-tuning on merged domains to eliminate the interference of class mismatching among various domains.
1 code implementation • CVPR 2021 • Tong Wu, Junshi Huang, Guangyu Gao, Xiaoming Wei, Xiaolin Wei, Xuan Luo, Chi Harold Liu
In inference, we directly use the activation masks from the DA layer as pseudo-labels for segmentation.
1 code implementation • CVPR 2021 • Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin
We then perform a systematic study on existing long-tailed recognition methods in conjunction with the adversarial training framework.
1 code implementation • CVPR 2021 • Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin
Recent works have shown that interval bound propagation (IBP) can be used to train verifiably robust neural networks.
no code implementations • 31 Mar 2021 • Tong Wu, Jorge Ortiz
We introduce a new semi-supervised, time series anomaly detection algorithm that uses deep reinforcement learning (DRL) and active learning to efficiently learn and adapt to anomalies in real-world time series data.
no code implementations • 11 Mar 2021 • Felix Binkowski, Tong Wu, Philippe Lalanne, Sven Burger, Alexander O. Govorov
We theoretically study hot electron generation through the emission of a dipole source coupled to a nanoresonator on a metal surface.
Optics Mesoscale and Nanoscale Physics
no code implementations • 21 Jan 2021 • Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang
In this way, the dual update of ADMM can be encrypted by PHE.
no code implementations • CUHK Course IERG5350 2020 • Tong Wu, Hao Li
The long-tail distributed data in the real world has always been a great challenge for deep learning.
no code implementations • 18 Nov 2020 • Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong, Ming-Hsuan Yang
In this work, we propose a Gaussian mixture (GM) loss function for deep neural networks for visual classification.
no code implementations • 13 Oct 2020 • Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao Zhang
We introduce a conditional autoregressive model for texture generation, which can be conditioned on both part geometry and textures already generated for other parts to achieve texture compatibility.
Graphics
1 code implementation • 13 Oct 2020 • Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, Li Liu
To this end, in this work, we present a novel end-to-end 3D lip motion Network (3LMNet) by utilizing the sentence-level 3D lip motion (S3DLM) to recognize speakers in both the text-independent and text-dependent contexts.
no code implementations • 31 Jul 2020 • Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang
In this paper, we tackle the issue of physical adversarial examples for object detectors in the wild.
1 code implementation • ECCV 2020 • Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin
We present a new loss function called Distribution-Balanced Loss for the multi-label recognition problems that exhibit long-tailed class distributions.
Ranked #7 on Long-tail Learning on VOC-MLT
no code implementations • 23 Jun 2020 • Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik
First, we find that the fusion model is usually both more accurate, and more robust against single-source attacks than single-sensor deep neural networks.
no code implementations • 19 Feb 2020 • Tong Wu, Yuan Xie, Yanyun Qu, Bicheng Dai, Shuxin Chen
MSN can fast generate the weights of fusion layers through a simple meta-learner, requiring only a few training samples and epochs to converge.
no code implementations • 7 Oct 2019 • Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang
Automatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare informatics that turns heterogeneous medical records into structured and actionable information.
no code implementations • 26 Sep 2019 • Yue Wang, Tong Wu, Yunlong Wang, Gao Wang
Models have been proposed to extract temporal patterns from longitudinal electronic health records (EHR) for clinical predictive models.
2 code implementations • ICLR 2020 • Tong Wu, Liang Tong, Yevgeniy Vorobeychik
Finally, we demonstrate that adversarial training using our new attack yields image classification models that exhibit high robustness against the physically realizable attacks we study, offering the first effective generic defense against such attacks.
no code implementations • 13 Aug 2019 • Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang
At the structural level, we train a Structured Parts VAE (SP-VAE), which jointly learns the part structure of a shape collection and the part geometries, ensuring a coherence between global shape structure and surface details.
no code implementations • 13 Aug 2019 • Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
On the basis of the AIBench framework, abstracting the real-world data sets and workloads from one of the top e-commerce providers, we design and implement the first end-to-end Internet service AI benchmark, which contains the primary modules in the critical paths of an industry scale application and is scalable to deploy on different cluster scales.
no code implementations • 5 Jul 2019 • Tong Wu, Yang Gu, Yiqiang Chen, Yunlong Xiao, Jiwei Wang
Falls are one of the important causes of accidental or unintentional injury death worldwide.
no code implementations • 1 Jul 2019 • Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
Many computational models were proposed to extract temporal patterns from clinical time series for each patient and among patient group for predictive healthcare.
1 code implementation • 14 Sep 2018 • Tong Wu, Wenfeng Zhao, Edward Keefer, Zhi Yang
The proposed model is built upon a deep compressive autoencoder (CAE) with discrete latent embeddings.
no code implementations • 23 Dec 2016 • Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
Representation of human actions as a sequence of human body movements or action attributes enables the development of models for human activity recognition and summarization.
no code implementations • 21 Dec 2014 • Tong Wu, Waheed U. Bajwa
This paper revisits the problem of data-driven learning of these geometric structures and puts forth two new nonlinear geometric models for data describing "related" objects/phenomena.
no code implementations • 26 Jan 2014 • Tong Wu, Gungor Polatkan, David Steel, William Brown, Ingrid Daubechies, Robert Calderbank
In this paper, computer-based techniques for stylistic analysis of paintings are applied to the five panels of the 14th century Peruzzi Altarpiece by Giotto di Bondone.