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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...
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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...
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02/05/2023
Spatio-Temporal Point Process for Multiple Object Tracking
Multiple Object Tracking (MOT) focuses on modeling the relationship of d...
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01/26/2023
Low-Rank Winograd Transformation for 3D Convolutional Neural Networks
This paper focuses on Winograd transformation in 3D convolutional neural...
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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...
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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...
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03/30/2022
Controllable Augmentations for Video Representation Learning
This paper focuses on self-supervised video representation learning. Mos...
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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...
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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...
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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...
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12/22/2021
Class-aware Sounding Objects Localization via Audiovisual Correspondence
Audiovisual scenes are pervasive in our daily life. It is commonplace fo...
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11/02/2021
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective
Modern video object segmentation (VOS) algorithms have achieved remarkab...
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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-...
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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...
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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...
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05/24/2021
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking
Recently, most siamese network based trackers locate targets via object ...
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04/26/2021
Variational Pedestrian Detection
Pedestrian detection in a crowd is a challenging task due to a high numb...
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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...
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10/12/2020
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching
Discriminatively localizing sounding objects in cocktail-party, i.e., mi...
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09/10/2020
Key-Point Sequence Lossless Compression for Intelligent Video Analysis
Feature coding has been recently considered to facilitate intelligent vi...
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08/30/2020
Finding Action Tubes with a Sparse-to-Dense Framework
The task of spatial-temporal action detection has attracted increasing a...
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08/19/2020
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
Most current pipelines for spatio-temporal action localization connect f...
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08/17/2020
AP-Loss for Accurate One-Stage Object Detection
One-stage object detectors are trained by optimizing classification-loss...
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07/19/2020
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments
Object detection using an oriented bounding box (OBB) can better target ...
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07/13/2020
Multiple Sound Sources Localization from Coarse to Fine
How to visually localize multiple sound sources in unconstrained videos ...
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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...
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04/30/2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
To enable DNNs on edge devices like mobile phones, low-rank approximatio...
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01/09/2020
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
Traffic forecasting has emerged as a core component of intelligent trans...
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10/09/2019
Traned Rank Pruning for Efficient Deep Neural Networks
To accelerate DNNs inference, low-rank approximation has been widely ado...
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06/13/2019
Amur Tiger Re-identification in the Wild
Monitoring the population and movements of endangered species is an impo...
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05/17/2019
Group Re-Identification with Multi-grained Matching and Integration
The task of re-identifying groups of people underdifferent camera views ...
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05/06/2019
A multimodal lossless coding method for skeletons in videos
Nowadays, skeleton information in videos plays an important role in huma...
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04/12/2019
Towards Accurate One-Stage Object Detection with AP-Loss
One-stage object detectors are trained by optimizing classification-loss...
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12/06/2018
Trained Rank Pruning for Efficient Deep Neural Networks
The performance of Deep Neural Networks (DNNs) keeps elevating in recent...
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12/06/2018
DNQ: Dynamic Network Quantization
Network quantization is an effective method for the deployment of neural...
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08/16/2018
Network Decoupling: From Regular to Depthwise Separable Convolutions
Depthwise separable convolution has shown great efficiency in network de...
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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...
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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...
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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 ...
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03/06/2018
Deep Neural Network Compression with Single and Multiple Level Quantization
Network quantization is an effective solution to compress deep neural ne...
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02/09/2018
Unsupervised Deep Domain Adaptation for Pedestrian Detection
This paper addresses the problem of unsupervised domain adaptation on th...
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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...
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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...
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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...
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05/29/2017
Ensemble of Part Detectors for Simultaneous Classification and Localization
Part-based representation has been proven to be effective for a variety ...
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03/20/2017
Learning Correspondence Structures for Person Re-identification
This paper addresses the problem of handling spatial misalignments due t...
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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...
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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...
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03/19/2016
Fractal Dimension Invariant Filtering and Its CNN-based Implementation
Fractal analysis has been widely used in computer vision, especially in ...
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02/16/2016