research
∙
08/14/2023
Knowing Where to Focus: Event-aware Transformer for Video Grounding
Recent DETR-based video grounding models have made the model directly pr...
share
research
∙
04/04/2023
PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification
Modern data augmentation using a mixture-based technique can regularize ...
research
∙
03/17/2023
Dual-path Adaptation from Image to Video Transformers
In this paper, we efficiently transfer the surpassing representation pow...
research
∙
11/08/2022
SimOn: A Simple Framework for Online Temporal Action Localization
Online Temporal Action Localization (On-TAL) aims to immediately provide...
research
∙
10/24/2022
Language-free Training for Zero-shot Video Grounding
Given an untrimmed video and a language query depicting a specific tempo...
research
∙
07/27/2022
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
Online stereo adaptation tackles the domain shift problem, caused by dif...
research
∙
04/08/2022
Probabilistic Representations for Video Contrastive Learning
This paper presents Probabilistic Video Contrastive Learning, a self-sup...
research
∙
04/07/2022
Pin the Memory: Learning to Generalize Semantic Segmentation
The rise of deep neural networks has led to several breakthroughs for se...
research
∙
08/31/2021
Self-balanced Learning For Domain Generalization
Domain generalization aims to learn a prediction model on multi-domain s...
research
∙
04/29/2021
Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering
This paper presents a novel method, termed Bridge to Answer, to infer co...
research
∙
12/15/2020
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation
Existing techniques to adapt semantic segmentation networks across the s...
research
∙
07/17/2020
SumGraph: Video Summarization via Recursive Graph Modeling
The goal of video summarization is to select keyframes that are visually...
research
∙
08/16/2019