research
∙
03/28/2023
MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction
Existing methods proposed for hand reconstruction tasks usually paramete...
share
research
∙
03/10/2021
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones
Recently, research efforts have been concentrated on revealing how pre-t...
research
∙
10/25/2020
Coherent Loss: A Generic Framework for Stable Video Segmentation
Video segmentation approaches are of great importance for numerous visio...
research
∙
10/12/2020
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching
Discriminatively localizing sounding objects in cocktail-party, i.e., mi...
research
∙
07/23/2020
PP-YOLO: An Effective and Efficient Implementation of Object Detector
Object detection is one of the most important areas in computer vision, ...
research
∙
07/21/2020
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement
Recently, most of the state-of-the-art human pose estimation methods are...
research
∙
07/03/2020
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
Current multi-object tracking and segmentation (MOTS) methods follow the...
research
∙
07/03/2020
PointTrack++ for Effective Online Multi-Object Tracking and Segmentation
Multiple-object tracking and segmentation (MOTS) is a novel computer vis...
research
∙
06/08/2020
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection
Object detection from 3D point clouds remains a challenging task, though...
research
∙
05/05/2020
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQ...
research
∙
03/01/2020
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
3D object detection is an essential task in autonomous driving and robot...
research
∙
12/17/2019
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
Multi-label image and video classification are fundamental yet challengi...
research
∙
11/21/2019
Multi-Label Classification with Label Graph Superimposing
Images or videos always contain multiple objects or actions. Multi-label...
research
∙
11/16/2019
Dynamic Instance Normalization for Arbitrary Style Transfer
Prior normalization methods rely on affine transformations to produce ar...
research
∙
10/14/2019
TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation
In this work, we introduce a new problem, named as story-preserving lon...
research
∙
09/16/2019
Perspective-Guided Convolution Networks for Crowd Counting
In this paper, we propose a novel perspective-guided convolution (PGC) f...
research
∙
09/03/2019
Image Inpainting with Learnable Bidirectional Attention Maps
Most convolutional network (CNN)-based inpainting methods adopt standard...
research
∙
08/26/2019
Deep Concept-wise Temporal Convolutional Networks for Action Localization
Existing action localization approaches adopt shallow temporal convoluti...
research
∙
07/31/2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
Video Recognition has drawn great research interest and great progress h...
research
∙
07/23/2019
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
Temporal action proposal generation is an challenging and promising task...
research
∙
05/07/2019
Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution
Recently, image super-resolution has been widely studied and achieved si...
research
∙
04/22/2019
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Arbitrary attribute editing generally can be tackled by incorporating en...
research
∙
01/21/2019
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos
The task of video grounding, which temporally localizes a natural langua...
research
∙
11/05/2018
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Despite the success of deep learning for static image understanding, it ...
research
∙
10/15/2018
Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance
This report demonstrates our solution for the Open Images 2018 Challenge...
research
∙
06/27/2018
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition
In this report, our approach to tackling the task of ActivityNet 2018 Ki...
research
∙
11/27/2017
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
Recently, substantial research effort has focused on how to apply CNNs o...
research
∙
08/12/2017
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification
This paper describes our solution for the video recognition task of Acti...
research
∙
08/04/2017
Deep Metric Learning with Angular Loss
The modern image search system requires semantic understanding of image,...
research
∙
07/14/2017
Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding
This paper describes our solution for the video recognition task of the ...
research
∙
03/30/2017
Dynamic Computational Time for Visual Attention
We propose a dynamic computational time model to accelerate the average ...
research
∙
05/20/2016
