Search Results for author: Yifan Sun

Found 44 papers, 18 papers with code

SRCN3D: Sparse R-CNN 3D Surround-View Camera Object Detection and Tracking for Autonomous Driving

1 code implementation29 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.

3D Multi-Object Tracking Autonomous Driving +2

A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection

no code implementations24 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.

Copy Detection Metric Learning

Accelerating Frank-Wolfe via Averaging Step Directions

no code implementations24 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.

Learning for Expressive Task-Related Sentence Representations

no code implementations24 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.

Language Modelling Masked Language Modeling

Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains

1 code implementation3 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.

Domain Generalization Person Re-Identification +1

Action Keypoint Network for Efficient Video Recognition

no code implementations17 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.

Point Cloud Classification Video Recognition

Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification

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

Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval

1 code implementation15 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.

Metric Learning Sketch-Based Image Retrieval

Bag of Tricks and A Strong baseline for Image Copy Detection

1 code implementation13 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.

Copy Detection Unsupervised Pre-training

D$^2$LV: A Data-Driven and Local-Verification Approach for Image Copy Detection

1 code implementation13 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.

Copy Detection Unsupervised Pre-training

Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework

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.

Unity

Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification

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.

Cross-Domain Few-Shot Domain Generalization

IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID

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

Screening for a Reweighted Penalized Conditional Gradient Method

no code implementations2 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.

Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets

no code implementations29 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.

Learning View Selection for 3D Scenes

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.

Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales

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.

Computer Vision Metric Learning

Latent Group Structured Multi-task Learning

no code implementations24 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.

Multi-Task Learning

Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory

no code implementations22 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).

Data Augmentation General Classification +3

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions

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.

Multi-Object Tracking Person Re-Identification +1

Embodied Self-supervised Learning by Coordinated Sampling and Training

no code implementations20 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.

Self-Supervised Learning

Circle Loss: A Unified Perspective of Pair Similarity Optimization

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)

Face Recognition Face Verification +3

Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective

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.

Face Recognition Person Re-Identification +1

Safe Screening for the Generalized Conditional Gradient Method

no code implementations22 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.

feature selection

K-Best Transformation Synchronization

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.

Learning low-dimensional state embeddings and metastable clusters from time series data

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.

Time Series

Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

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).

Person Re-Identification

Joint Map and Symmetry Synchronization

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.

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning

no code implementations14 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.

Distributed Optimization

Wide Compression: Tensor Ring Nets

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.

Image Classification

Deep Unsupervised Clustering Using Mixture of Autoencoders

1 code implementation21 Dec 2017 Dejiao Zhang, Yifan Sun, Brian Eriksson, Laura Balzano

Unsupervised clustering is one of the most fundamental challenges in machine learning.

A Simple Approach to Learn Polysemous Word Embeddings

2 code implementations6 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.

Word Embeddings Word Sense Induction +1

Dynamic Word Embeddings for Evolving Semantic Discovery

4 code implementations2 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.

Word Embeddings

Probabilistic Reconstruction in Compressed Sensing: Algorithms, Phase Diagrams, and Threshold Achieving Matrices

1 code implementation18 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

Statistical physics-based reconstruction in compressed sensing

1 code implementation20 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

Cannot find the paper you are looking for? You can Submit a new open access paper.