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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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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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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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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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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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06/11/2021
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos
Facial expressions vary from the visible to the subtle. In recent years,...
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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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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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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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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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02/10/2019
A Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition System
In the recent year, the state-of-the-arts of facial micro-expression rec...
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06/15/2018
A Survey of Automatic Facial Micro-expression Analysis: Databases, Methods and Challenges
Over the last few years, automatic facial micro-expression analysis has ...
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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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12/20/2017
Lost in Time: Temporal Analytics for Long-Term Video Surveillance
Video surveillance is a well researched area of study with substantial w...
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06/09/2016
Spontaneous Subtle Expression Detection and Recognition based on Facial Strain
Optical strain is an extension of optical flow that is capable of quanti...
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06/06/2016
Less is More: Micro-expression Recognition from Video using Apex Frame
Despite recent interest and advances in facial micro-expression research...
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01/19/2016