11 citations · 19 across the 7 of their papers we have counts for
7 papers
Dual DETRs for Multi-Label Temporal Action Detection
Yuhan Zhu, Guozhen Zhang, Jing Tan +2
Temporal Action Detection (TAD) aims to identify the action boundaries and the corresponding category within untrimmed videos. Inspired by the success of DETR in object detection,…
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
Jing Tan, Xiaotong Zhao, Xintian Shi +2
Traditional temporal action detection (TAD) usually handles untrimmed videos with small number of action instances from a single label (e.g., ActivityNet, THUMOS). However, this se…
Submission to Generic Event Boundary Detection Challenge@CVPR 2022: Local Context Modeling and Global Boundary Decoding Approach
Jiaqi Tang, Zhaoyang Liu, Jing Tan +3
Generic event boundary detection (GEBD) is an important yet challenging task in video understanding, which aims at detecting the moments where humans naturally perceive event bound…
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection
Jing Tan, Yuhong Wang, Gangshan Wu +1
Generic Boundary Detection (GBD) aims at locating the general boundaries that divide videos into semantically coherent and taxonomy-free units, and could serve as an important pre-…
Practical Wide-Angle Portraits Correction with Deep Structured Models
Jing Tan, Shan Zhao, Pengfei Xiong +3
Wide-angle portraits often enjoy expanded views. However, they contain perspective distortions, especially noticeable when capturing group portrait photos, where the background is…
Relaxed Transformer Decoders for Direct Action Proposal Generation
Jing Tan, Jiaqi Tang, Limin Wang +1
Temporal action proposal generation is an important and challenging task in video understanding, which aims at detecting all temporal segments containing action instances of intere…
Local Context Attention for Salient Object Segmentation
Jing Tan, Pengfei Xiong, Yuwen He +2
Salient object segmentation aims at distinguishing various salient objects from backgrounds. Despite the lack of semantic consistency, salient objects often have obvious texture an…