no code implementations • WASSA (ACL) 2022 • Hao Lin, Pradeep Nalluri, Lantian Li, Yifan Sun, Yongjun Zhang
We introduce new datasets from Twitter related to anti-Asian hate sentiment before and during the pandemic.
1 code implementation • 29 Jun 2022 • Yining Shi, Jingyan Shen, Yifan Sun, Yunlong Wang, Jiaxin Li, Shiqi Sun, Kun Jiang, Diange Yang
This paper proposes Sparse R-CNN 3D (SRCN3D), a novel two-stage fully-convolutional mapping pipeline for surround-view camera detection and tracking.
no code implementations • 24 May 2022 • Wenhao Wang, Yifan Sun, Yi Yang
Moreover, this paper further reveals a unique difficulty for solving the hard negative problem in ICD, i. e., there is a fundamental conflict between current metric learning and ICD.
no code implementations • 24 May 2022 • Zhaoyue Chen, Yifan Sun
The Frank-Wolfe method is a popular method in sparse constrained optimization, due to its fast per-iteration complexity.
no code implementations • 24 May 2022 • Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian
To achieve this goal, we first propose a new objective which explicitly points out the label token space in the input, and predicts categories of labels via an added [MASK] token.
1 code implementation • 3 Mar 2022 • Yongxing Dai, Yifan Sun, Jun Liu, Zekun Tong, Yi Yang, Ling-Yu Duan
Instead of directly aligning the source and target domains against each other, we propose to align the source and target domains against their intermediate domains for a smooth knowledge transfer.
no code implementations • 8 Feb 2022 • Zoë Papakipos, Giorgos Tolias, Tomas Jenicek, Ed Pizzi, Shuhei Yokoo, Wenhao Wang, Yifan Sun, Weipu Zhang, Yi Yang, Sanjay Addicam, Sergio Manuel Papadakis, Cristian Canton Ferrer, Ondrej Chum, Matthijs Douze
The 2021 Image Similarity Challenge introduced a dataset to serve as a new benchmark to evaluate recent image copy detection methods.
no code implementations • 17 Jan 2022 • Xu Chen, Yahong Han, Xiaohan Wang, Yifan Sun, Yi Yang
An effective approach is to select informative content from the holistic video, yielding a popular family of dynamic video recognition methods.
no code implementations • CVPR 2022 • Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li
These two unidirectional metrics (IR image to RGB proxy and RGB image to IR proxy) jointly alleviate the relay effect and benefit cross-modality association.
Cross-Modality Person Re-identification
Person Re-Identification
1 code implementation • CVPR 2022 • Yunqiu Xu, Yifan Sun, Zongxin Yang, Jiaxu Miao, Yi Yang
How to align the source and target domains is critical to the CDWSOD accuracy.
Ranked #1 on
Weakly Supervised Object Detection
on Clipart1k
1 code implementation • 15 Dec 2021 • Zongheng Huang, Yifan Sun, Chuchu Han, Changxin Gao, Nong Sang
By combining two fundamental learning approaches in DML, e. g., classification training and pairwise training, we set up a strong baseline for ZS-SBIR.
1 code implementation • 1 Dec 2021 • Kai Zhang, Yifan Sun, Rui Wang, Haichang Li, Xiaohui Hu
MFA basically considers three parallel information fusion strategies, i. e., the cross-model fusion, temporal fusion and a novel online-offline pseudo label fusion.
Synthetic-to-Real Translation
Unsupervised Domain Adaptation
+1
1 code implementation • 13 Nov 2021 • Wenhao Wang, Weipu Zhang, Yifan Sun, Yi Yang
In this paper, a bag of tricks and a strong baseline are proposed for image copy detection.
1 code implementation • 13 Nov 2021 • Wenhao Wang, Yifan Sun, Weipu Zhang, Yi Yang
In this paper, a data-driven and local-verification (D$^2$LV) approach is proposed to compete for Image Similarity Challenge: Matching Track at NeurIPS'21.
1 code implementation • NeurIPS 2021 • Tengteng Huang, Yifan Sun, Xun Wang, Haotian Yao, Chi Zhang
Model smoothing is of central importance for obtaining a reliable teacher model in the student-teacher framework, where the teacher generates surrogate supervision signals to train the student.
no code implementations • ICLR 2022 • Zhengdong Hu, Yifan Sun, Yi Yang
We hold a hypothesis, i. e., if a deep model is capable to fast generalize itself to different domains (using very few samples) during training, it will maintain such domain generalization capacity for testing.
3 code implementations • ICCV 2021 • Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan
To ensure these two properties to better characterize appropriate intermediate domains, we enforce the bridge losses on intermediate domains' prediction space and feature space, and enforce a diversity loss on the two domain factors.
Domain Adaptive Person Re-Identification
Person Re-Identification
no code implementations • 2 Jul 2021 • Yifan Sun, Francis Bach
We couple this with a screening rule which is safe in the convex case, converging to the true support at a rate $O(1/(\delta^2))$ where $\delta \geq 0$ measures how close the problem is to degeneracy.
no code implementations • 29 Jun 2021 • Baojian Zhou, Yifan Sun
In this paper, we consider approximate Frank-Wolfe (FW) algorithms to solve convex optimization problems over graph-structured support sets where the linear minimization oracle (LMO) cannot be efficiently obtained in general.
no code implementations • CVPR 2021 • Yifan Sun, QiXing Huang, Dun-Yu Hsiao, Li Guan, Gang Hua
Efficient 3D space sampling to represent an underlying3D object/scene is essential for 3D vision, robotics, and be-yond.
1 code implementation • CVPR 2021 • Yifan Sun, Yuke Zhu, Yuhan Zhang, Pengkun Zheng, Xi Qiu, Chi Zhang, Yichen Wei
%We argue that such flexibility is also important for deep metric learning, because different visual concepts indeed correspond to different semantic scales.
no code implementations • 24 Nov 2020 • Xiangyu Niu, Yifan Sun, Jinyuan Sun
In multi-task learning (MTL), we improve the performance of key machine learning algorithms by training various tasks jointly.
no code implementations • 22 Aug 2020 • Jialun Liu, Jingwei Zhang, Yi Yang, Wenhui Li, Chi Zhang, Yifan Sun
With slight modifications, MBJ is applicable for two fundamental visual recognition tasks, \emph{i. e.}, deep image classification and deep metric learning (on long-tailed data).
no code implementations • ECCV 2020 • Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Ya-Li Li, Shengjin Wang
This paper proposes a self-supervised learning method for the person re-identification (re-ID) problem, where existing unsupervised methods usually rely on pseudo labels, such as those from video tracklets or clustering.
no code implementations • 20 Jun 2020 • Yifan Sun, Xihong Wu
The proposed approach works in an analysis-by-synthesis manner to learn an inference network by iteratively sampling and training.
10 code implementations • CVPR 2020 • Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei
This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class similarity $s_p$ and minimize the between-class similarity $s_n$.
Ranked #1 on
Face Verification
on IJB-C
(training dataset metric)
no code implementations • CVPR 2020 • Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, Wenhui Li
If a sample belongs to a tail class, the corresponding feature cloud will have relatively large distribution range, in compensation to its lack of diversity.
no code implementations • 22 Feb 2020 • Yifan Sun, Francis Bach
The conditional gradient method (CGM) has been widely used for fast sparse approximation, having a low per iteration computational cost for structured sparse regularizers.
no code implementations • ICCV 2019 • Ruihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang, Yichen Wei
This paper considers vehicle re-identification (re-ID) problem.
no code implementations • ICCV 2019 • Yifan Sun, Jiacheng Zhuo, Arnav Mohan, Qixing Huang
In this paper, we introduce the problem of K-best transformation synchronization for the purpose of multiple scan matching.
no code implementations • 8 Aug 2019 • Yifan Sun, Linan Zhang, Hayden Schaeffer
We propose a neural network based approach for extracting models from dynamic data using ordinary and partial differential equations.
Ranked #10 on
Image Classification
on Fashion-MNIST
no code implementations • NeurIPS 2019 • Yifan Sun, Yaqi Duan, Hao Gong, Mengdi Wang
This paper studies how to find compact state embeddings from high-dimensional Markov state trajectories, where the transition kernel has a small intrinsic rank.
1 code implementation • CVPR 2019 • Yifan Sun, Qin Xu, Ya-Li Li, Chi Zhang, Yikang Li, Shengjin Wang, Jian Sun
The visibility awareness allows VPM to extract region-level features and compare two images with focus on their shared regions (which are visible on both images).
Ranked #14 on
Person Re-Identification
on Market-1501-C
no code implementations • ECCV 2018 • Yifan Sun, Zhenxiao Liang, Xiangru Huang, Qi-Xing Huang
Most existing techniques in map computation (e. g., in the form of feature or dense correspondences) assume that the underlying map between an object pair is unique.
no code implementations • 14 Mar 2018 • Can Karakus, Yifan Sun, Suhas Diggavi, Wotao Yin
Performance of distributed optimization and learning systems is bottlenecked by "straggler" nodes and slow communication links, which significantly delay computation.
no code implementations • CVPR 2018 • Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal
Deep neural networks have demonstrated state-of-the-art performance in a variety of real-world applications.
1 code implementation • 21 Dec 2017 • Dejiao Zhang, Yifan Sun, Brian Eriksson, Laura Balzano
Unsupervised clustering is one of the most fundamental challenges in machine learning.
20 code implementations • ECCV 2018 • Yifan Sun, Liang Zheng, Yi Yang, Qi Tian, Shengjin Wang
RPP re-assigns these outliers to the parts they are closest to, resulting in refined parts with enhanced within-part consistency.
Ranked #3 on
Person Re-Identification
on UAV-Human
no code implementations • NeurIPS 2017 • Can Karakus, Yifan Sun, Suhas Diggavi, Wotao Yin
Slow running or straggler tasks can significantly reduce computation speed in distributed computation.
2 code implementations • 6 Jul 2017 • Yifan Sun, Nikhil Rao, Weicong Ding
Evaluating these methods is also problematic, as rigorous quantitative evaluations in this space is limited, especially when compared with single-sense embeddings.
no code implementations • ICCV 2017 • Yifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang
This paper proposes the SVDNet for retrieval problems, with focus on the application of person re-identification (re-ID).
Ranked #13 on
Person Re-Identification
on CUHK03 detected
4 code implementations • 2 Mar 2017 • Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
Word evolution refers to the changing meanings and associations of words throughout time, as a byproduct of human language evolution.
1 code implementation • 18 Jun 2012 • Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová
We further develop the asymptotic analysis of the corresponding phase diagrams with and without measurement noise, for different distribution of signals, and discuss the best possible reconstruction performances regardless of the algorithm.
Statistical Mechanics Information Theory Information Theory
1 code implementation • 20 Sep 2011 • Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová
Compressed sensing is triggering a major evolution in signal acquisition.
Statistical Mechanics Information Theory Information Theory