b'Weiyao Lin'

research

∙ 05/10/2023

Few-shot Action Recognition via Intra- and Inter-Video Information Maximization

Current few-shot action recognition involves two primary sources of info...

0 Huabin Liu, et al. ∙

research

∙ 04/26/2023

Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations

The scene graph is a new data structure describing objects and their pai...

0 Yufeng Zhang, et al. ∙

research

∙ 02/05/2023

Spatio-Temporal Point Process for Multiple Object Tracking

Multiple Object Tracking (MOT) focuses on modeling the relationship of d...

0 PetsTime, et al. ∙

research

∙ 01/26/2023

Low-Rank Winograd Transformation for 3D Convolutional Neural Networks

This paper focuses on Winograd transformation in 3D convolutional neural...

0 Ziran Qin, et al. ∙

research

∙ 10/27/2022

The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge

We present our 1st place solution to the Group Dance Multiple People Tra...

5 Yuang Zhang, et al. ∙

research

∙ 07/20/2022

Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action Recognition

A primary challenge faced in few-shot action recognition is inadequate v...

6 Huabin Liu, et al. ∙

research

∙ 03/30/2022

Controllable Augmentations for Video Representation Learning

This paper focuses on self-supervised video representation learning. Mos...

11 Rui Qian, et al. ∙

research

∙ 03/07/2022

End-to-end video instance segmentation via spatial-temporal graph neural networks

Video instance segmentation is a challenging task that extends image ins...

0 PetsTime, et al. ∙

research

∙ 02/13/2022

Visual Sound Localization in the Wild by Cross-Modal Interference Erasing

The task of audio-visual sound source localization has been well studied...

5 Xian Liu, et al. ∙

research

∙ 01/11/2022

Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training

Vision-language pre-training has been an emerging and fast-developing re...

0 Yehao Li, et al. ∙

research

∙ 12/22/2021

Class-aware Sounding Objects Localization via Audiovisual Correspondence

Audiovisual scenes are pervasive in our daily life. It is commonplace fo...

0 Di Hu, et al. ∙

research

∙ 11/02/2021

Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective

Modern video object segmentation (VOS) algorithms have achieved remarkab...

4 Yuxi Li, et al. ∙

research

∙ 10/19/2021

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

In this paper, we place the atomic action detection problem into a Long-...

0 Yuxi Li, et al. ∙

research

∙ 08/04/2021

Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization

The crux of self-supervised video representation learning is to build ge...

6 Rui Qian, et al. ∙

research

∙ 07/10/2021

TTAN: Two-Stage Temporal Alignment Network for Few-shot Action Recognition

Few-shot action recognition aims to recognize novel action classes (quer...

3 Shuyuan Li, et al. ∙

research

∙ 05/24/2021

SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking

Recently, most siamese network based trackers locate targets via object ...

4 Jinlong Peng, et al. ∙

research

∙ 04/26/2021

Variational Pedestrian Detection

Pedestrian detection in a crowd is a challenging task due to a high numb...

3 Yuang Zhang, et al. ∙

research

∙ 10/23/2020

Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation

In this paper, we address several inadequacies of current video object s...

3 Yuxi Li, et al. ∙

research

∙ 10/12/2020

Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching

Discriminatively localizing sounding objects in cocktail-party, i.e., mi...

0 Di Hu, et al. ∙

research

∙ 09/10/2020

Key-Point Sequence Lossless Compression for Intelligent Video Analysis

Feature coding has been recently considered to facilitate intelligent vi...

0 Weiyao Lin, et al. ∙

research

∙ 08/30/2020

Finding Action Tubes with a Sparse-to-Dense Framework

The task of spatial-temporal action detection has attracted increasing a...

4 Yuxi Li, et al. ∙

research

∙ 08/19/2020

CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization

Most current pipelines for spatio-temporal action localization connect f...

0 Yuxi Li, et al. ∙

research

∙ 08/17/2020

AP-Loss for Accurate One-Stage Object Detection

One-stage object detectors are trained by optimizing classification-loss...

0 Kean Chen, et al. ∙

research

∙ 07/19/2020

PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments

Object detection using an oriented bounding box (OBB) can better target ...

0 Zhiming Chen, et al. ∙

research

∙ 07/13/2020

Multiple Sound Sources Localization from Coarse to Fine

How to visually localize multiple sound sources in unconstrained videos ...

0 Rui Qian, et al. ∙

research

∙ 05/09/2020

Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events

Along with the development of the modern smart city, human-centric video...

5 Weiyao Lin, et al. ∙

research

∙ 04/30/2020

TRP: Trained Rank Pruning for Efficient Deep Neural Networks

To enable DNNs on edge devices like mobile phones, low-rank approximatio...

8 Yuhui Xu, et al. ∙

research

∙ 01/09/2020

Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Traffic forecasting has emerged as a core component of intelligent trans...

0 Mingxing Xu, et al. ∙

research

∙ 10/09/2019

Traned Rank Pruning for Efficient Deep Neural Networks

To accelerate DNNs inference, low-rank approximation has been widely ado...

0 Yuhui Xu, et al. ∙

research

∙ 06/13/2019

Amur Tiger Re-identification in the Wild

Monitoring the population and movements of endangered species is an impo...

4 Shuyuan Li, et al. ∙

research

∙ 05/17/2019

Group Re-Identification with Multi-grained Matching and Integration

The task of re-identifying groups of people underdifferent camera views ...

0 Weiyao Lin, et al. ∙

research

∙ 05/06/2019

A multimodal lossless coding method for skeletons in videos

Nowadays, skeleton information in videos plays an important role in huma...

0 Mingzhou Liu, et al. ∙

research

∙ 04/12/2019

Towards Accurate One-Stage Object Detection with AP-Loss

One-stage object detectors are trained by optimizing classification-loss...

0 Kean Chen, et al. ∙

research

∙ 12/06/2018

Trained Rank Pruning for Efficient Deep Neural Networks

The performance of Deep Neural Networks (DNNs) keeps elevating in recent...

0 Yuhui Xu, et al. ∙

research

∙ 12/06/2018

DNQ: Dynamic Network Quantization

Network quantization is an effective method for the deployment of neural...

0 Yuhui Xu, et al. ∙

research

∙ 08/16/2018

Network Decoupling: From Regular to Depthwise Separable Convolutions

Depthwise separable convolution has shown great efficiency in network de...

0 Jianbo Guo, et al. ∙

research

∙ 07/29/2018

Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages

Object detection has made great progress in the past few years along wit...

0 Yuxi Li, et al. ∙

research

∙ 05/22/2018

Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition

Facial micro-expression (ME) recognition has posed a huge challenge to r...

0 Huai-Qian Khor, et al. ∙

research

∙ 05/10/2018

Enhancing HEVC Compressed Videos with a Partition-masked Convolutional Neural Network

In this paper, we propose a partition-masked Convolution Neural Network ...

0 Xiaoyi He, et al. ∙

research

∙ 03/06/2018

Deep Neural Network Compression with Single and Multiple Level Quantization

Network quantization is an effective solution to compress deep neural ne...

0 Yuhui Xu, et al. ∙

research

∙ 02/09/2018

Unsupervised Deep Domain Adaptation for Pedestrian Detection

This paper addresses the problem of unsupervised domain adaptation on th...

0 Lihang Liu, et al. ∙

research

∙ 11/20/2017

Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion

Action recognition is an important yet challenging task in computer visi...

0 Weiyao Lin, et al. ∙

research

∙ 08/12/2017

Kill Two Birds With One Stone: Boosting Both Object Detection Accuracy and Speed With adaptive Patch-of-Interest Composition

Object detection is an important yet challenging task in video understan...

0 Shihao Zhang, et al. ∙

research

∙ 07/20/2017

ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression

We propose an efficient and unified framework, namely ThiNet, to simulta...

0 Jian-Hao Luo, et al. ∙

research

∙ 05/29/2017

Ensemble of Part Detectors for Simultaneous Classification and Localization

Part-based representation has been proven to be effective for a variety ...

0 Xiaopeng Zhang, et al. ∙

research

∙ 03/20/2017

Learning Correspondence Structures for Person Re-identification

This paper addresses the problem of handling spatial misalignments due t...

0 Weiyao Lin, et al. ∙

research

∙ 01/24/2017

Motion Segmentation via Global and Local Sparse Subspace Optimization

In this paper, we propose a new framework for segmenting feature-based m...

1 Michael Ying Yang, et al. ∙

research

∙ 09/10/2016

A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories

Trajectory analysis is essential in many applications. In this paper, we...

0 Weiyao Lin, et al. ∙

research

∙ 03/19/2016

Fractal Dimension Invariant Filtering and Its CNN-based Implementation

Fractal analysis has been widely used in computer vision, especially in ...

0 Hongteng Xu, et al. ∙

research

∙ 02/16/2016

A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes

This paper addresses the problem of detecting coherent motions in crowd ...

0 Weiyao Lin, et al. ∙

Weiyao Lin

Featured Co-authors