1 code implementation • 17 Apr 2024 • Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, HaoNing Wu, ZiCheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei LI, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, WangMeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, huimin zheng, JunHao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i. e., Kuaishou/Kwai Platform.
no code implementations • 3 Apr 2024 • Da Li, Peian Li, Jiabiao Zhao, Jianjian Liang, Jiacheng Liu, Guohao Liu, Yuanshuai Lei, Wenbo Liu, Jianqin Deng, Fuyong Liu, Jianjun Ma
Employing experimental measurements through an unmodulated channel setup and a geometry-based stochastic model (GBSM) that integrates three-dimensional positional coordinates and beamwidth, this work evaluates the impact of UAV dynamic movements and antenna orientation on channel performance.
no code implementations • 23 Nov 2023 • Chengshuo Shen, Jianchao Li, Yonghua Ding, Jiaolong Dong, Nengchao Wang, Dongliang. Han, Feiyue Mao, Da Li, Zhipeng Chen, Zhoujun Yang, Zhongyong Chen, Yuan Pan, J-TEXT team
A new method to extract this pick-up has been developed by predicting the n = 0 pick-up brn=0 by the LM detectors based on Neural Networks (NNs) in J-TEXT.
no code implementations • 13 Nov 2023 • Ruolin Yang, Da Li, Conghui Hu, Timothy Hospedales, Honggang Zhang, Yi-Zhe Song
Reference-based video object segmentation is an emerging topic which aims to segment the corresponding target object in each video frame referred by a given reference, such as a language expression or a photo mask.
no code implementations • 7 Sep 2023 • Linus Ericsson, Da Li, Timothy M. Hospedales
However, the domain shift scenario raises a second more subtle challenge: the difficulty of performing hyperparameter optimisation (HPO) for these adaptation algorithms without access to a labelled validation set.
no code implementations • 20 Jul 2023 • Ondrej Bohdal, Da Li, Timothy Hospedales
Performance of a pre-trained semantic segmentation model is likely to substantially decrease on data from a new domain.
no code implementations • 20 Jul 2023 • Ondrej Bohdal, Da Li, Timothy Hospedales
Source-free domain adaptation has become popular because of its practical usefulness and no need to access source data.
1 code implementation • 15 Jun 2023 • Panagiotis Eustratiadis, Łukasz Dudziak, Da Li, Timothy Hospedales
In few-shot recognition, a classifier that has been trained on one set of classes is required to rapidly adapt and generalize to a disjoint, novel set of classes.
1 code implementation • 12 Jun 2023 • Ruipu Luo, Ziwang Zhao, Min Yang, Junwei DOng, Da Li, Pengcheng Lu, Tao Wang, Linmei Hu, Minghui Qiu, Zhongyu Wei
Large language models (LLMs), with their remarkable conversational capabilities, have demonstrated impressive performance across various applications and have emerged as formidable AI assistants.
1 code implementation • CVPR 2023 • Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy Hospedales
Meta-learning and other approaches to few-shot learning are widely studied for image recognition, and are increasingly applied to other vision tasks such as pose estimation and dense prediction.
no code implementations • 5 Apr 2023 • Da Li, Bo Tang, Lei Xue
This paper focuses on the joint design of transmit waveforms and receive filters for airborne multiple-input-multiple-output (MIMO) radar systems in spectrally crowded environments.
no code implementations • 4 Apr 2023 • Da Li, Bo Tang, Xuyang Wang, Wenjun Wu, Lei Xue
Reconfigurable intelligent surface (RIS) refers to a signal reflection surface containing a large number of low-cost passive reflecting elements.
1 code implementation • CVPR 2023 • Fengyin Lin, Mingkang Li, Da Li, Timothy Hospedales, Yi-Zhe Song, Yonggang Qi
This paper studies the problem of zero-short sketch-based image retrieval (ZS-SBIR), however with two significant differentiators to prior art (i) we tackle all variants (inter-category, intra-category, and cross datasets) of ZS-SBIR with just one network (``everything''), and (ii) we would really like to understand how this sketch-photo matching operates (``explainable'').
no code implementations • 10 Mar 2023 • Zhongying Deng, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang
D-CFA minimizes the domain gap by augmenting the source data with distribution-sampled target features, and trains a noise-robust discriminative classifier by using target domain knowledge from the generative models.
no code implementations • 23 Feb 2023 • Minyoung Kim, Da Li, Timothy Hospedales
We tackle the domain generalisation (DG) problem by posing it as a domain adaptation (DA) task where we adversarially synthesise the worst-case target domain and adapt a model to that worst-case domain, thereby improving the model's robustness.
no code implementations • 13 Jan 2023 • Ruifeng Li, Da Li, Jinyan Ma, Zhaoyang Feng, Ling Zhang, Shurun Tan, Wei E. I. Sha, Hongsheng Chen, Er-Ping Li
In this manuscript, an Electromagnetic-Information-Theory (EMIT) based model is developed for efficient characterization of MIMO systems in complex space.
no code implementations • ICCV 2023 • Ruchika Chavhan, Henry Gouk, Da Li, Timothy Hospedales
Notably, the augmentations used in both supervised and self-supervised training lead to features with high invariance to spatial and appearance transformations.
no code implementations • 8 Dec 2022 • Zicheng Liu, Da Li, Javier Fernandez-Marques, Stefanos Laskaridis, Yan Gao, Łukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy Hospedales
Federated learning has been predominantly concerned with collaborative training of deep networks from scratch, and especially the many challenges that arise, such as communication cost, robustness to heterogeneous data, and support for diverse device capabilities.
no code implementations • 25 Oct 2022 • Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song
Machine learning models are intrinsically vulnerable to domain shift between training and testing data, resulting in poor performance in novel domains.
no code implementations • 15 Oct 2022 • Zhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang
To ensure that the fused scores are not biased to either the base or novel classes, a new Transformer-based calibration module is introduced.
Generalized Few-Shot Semantic Segmentation Semantic Segmentation
1 code implementation • 11 Oct 2022 • Chengting Yu, Zheming Gu, Da Li, Gaoang Wang, Aili Wang, Erping Li
We show that endowing synaptic models with temporal dependencies can improve the performance of SNNs on classification tasks.
Ranked #4 on Audio Classification on SHD
1 code implementation • 4 Oct 2022 • Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang
Given any existing fully-trained one-step MSDA model, BORT$^2$ turns it to a labeling function to generate pseudo-labels for the target data and trains a target model using pseudo-labeled target data only.
1 code implementation • 1 Aug 2022 • Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy Hospedales
This paper investigates a family of methods for defending against adversarial attacks that owe part of their success to creating a noisy, discontinuous, or otherwise rugged loss landscape that adversaries find difficult to navigate.
no code implementations • 17 Jul 2022 • Ke Fan, Yikai Wang, Qian Yu, Da Li, Yanwei Fu
In contrast, this paper proposes a simple Test-time Linear Training (ETLT) method for OOD detection.
Out-of-Distribution Detection Out of Distribution (OOD) Detection
no code implementations • 15 Jul 2022 • Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy Hospedales
Recognizing that device's data are likely to come from multiple latent domains that include a mixture of unlabelled domain-relevant and domain-irrelevant examples, we focus on the comparatively under-studied problem of latent domain adaptation.
no code implementations • 10 Jun 2022 • Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
Recent sharpness-aware minimisation (SAM) is known to find flat minima which is beneficial for better generalisation with improved robustness.
1 code implementation • CVPR 2022 • Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
To this end, we explore few-shot learning from the perspective of neural network architecture, as well as a three stage pipeline of network updates under different data supplies, where unsupervised external data is considered for pre-training, base categories are used to simulate few-shot tasks for meta-training, and the scarcely labelled data of an novel task is taken for fine-tuning.
Ranked #1 on Few-Shot Image Classification on Meta-Dataset
1 code implementation • 9 Mar 2022 • Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang
In this paper, we address both single-source and multi-source UDA from a completely different perspective, which is to view each instance as a fine domain.
no code implementations • SemEval (NAACL) 2022 • Da Li, Ming Yi, Yukai He
Women are influential online, especially in image-based social media such as Twitter and Instagram.
no code implementations • 1 Feb 2022 • Da Li, Henry Gouk, Timothy Hospedales
However much of the work in general purpose DG is heuristically motivated, as the DG problem is hard to model formally; and recent evaluations have cast doubt on existing methods' practical efficacy -- in particular compared to a well tuned empirical risk minimisation baseline.
1 code implementation • 13 Jan 2022 • Da Li, Sen yang, Kele Xu, Ming Yi, Yukai He, Huaimin Wang
To demonstrate the effectiveness of our method, we conduct extensive experiments on three widely-used datasets, WN18RR, FB15k-237, and UMLS.
Ranked #1 on Link Prediction on UMLS
1 code implementation • 15 Jul 2021 • Rui Li, Ondrej Bohdal, Rajesh Mishra, Hyeji Kim, Da Li, Nicholas Lane, Timothy Hospedales
We use our MetaCC benchmark to study several aspects of meta-learning, including the impact of task distribution breadth and shift, which can be controlled in the coding problem.
no code implementations • 29 Mar 2021 • Yi-Fan Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan
Generalizable person Re-Identification (ReID) has attracted growing attention in recent computer vision community.
no code implementations • 21 Jan 2021 • Suk Woo Lee, Lu Qiu, Jong Chan Yoon, Yohan Kim, Da Li, Inseon Oh, Gil-Ho Lee, Jung-Woo Yoo, Hyung-Joon Shin, Feng Ding, Zonghoon Lee
Intercalation is an effective method to improve and modulate properties of two-dimensional materials.
Materials Science
no code implementations • ICCV 2021 • Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales
The topical domain generalization (DG) problem asks trained models to perform well on an unseen target domain with different data statistics from the source training domains.
1 code implementation • 17 Oct 2020 • Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy Hospedales
Stochastic Neural Networks (SNNs) that inject noise into their hidden layers have recently been shown to achieve strong robustness against adversarial attacks.
no code implementations • ECCV 2020 • Da Li, Timothy Hospedales
Therefore we propose an online shortest-path meta-learning framework that is both computationally tractable and practically effective for improving DA performance.
Meta-Learning Multi-Source Unsupervised Domain Adaptation +2
no code implementations • 3 Apr 2020 • Da Li, Yongxin Yang, Yi-Zhe Song, Timothy Hospedales
In DG this means encountering a sequence of domains and at each step training to maximise performance on the next domain.
Ranked #76 on Domain Generalization on PACS
no code implementations • 25 Sep 2019 • Tianyuan Yu, Yongxin Yang, Da Li, Timothy Hospedales, Tao Xiang
Stochastic neural networks (SNNs) are currently topical, with several paradigms being actively investigated including dropout, Bayesian neural networks, variational information bottleneck (VIB) and noise regularized learning.
no code implementations • 6 Mar 2019 • Da Li, Zhang Zhang
The Large-Scale Pedestrian Retrieval Competition (LSPRC) mainly focuses on person retrieval which is an important end application in intelligent vision system of surveillance.
2 code implementations • ICCV 2019 • Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales
In this paper, we build on this strong baseline by designing an episodic training procedure that trains a single deep network in a way that exposes it to the domain shift that characterises a novel domain at runtime.
Ranked #76 on Domain Generalization on PACS
no code implementations • ECCV 2018 • Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Instead there is a fundamental process of abstraction and iconic rendering, where overall geometry is warped and salient details are selectively included.
no code implementations • CVPR 2018 • Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Contemporary deep learning techniques have made image recognition a reasonably reliable technology.
5 code implementations • 10 Oct 2017 • Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
We propose a novel {meta-learning} method for domain generalization.
Ranked #114 on Domain Generalization on PACS
6 code implementations • ICCV 2017 • Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
In this paper, we make two main contributions: Firstly, we build upon the favorable domain shift-robust properties of deep learning methods, and develop a low-rank parameterized CNN model for end-to-end DG learning.
Ranked #117 on Domain Generalization on PACS
no code implementations • 29 Nov 2016 • Kai Yu, Yang Zhou, Da Li, Zhang Zhang, Kaiqi Huang
Visual surveillance systems have become one of the largest data sources of Big Visual Data in real world.