571 citations · 2.9k across the 98 of their papers we have counts for
8 papers · 1 filter
Divert More Attention to Vision-Language Object Tracking
Mingzhe Guo, Zhipeng Zhang, Liping Jing +2
Multimodal vision-language (VL) learning has noticeably pushed the tendency toward generic intelligence owing to emerging large foundation models. However, tracking, as a fundament…
Free-Form Composition Networks for Egocentric Action Recognition
Haoran Wang, Qinghua Cheng, Baosheng Yu +4
Egocentric action recognition is gaining significant attention in the field of human action recognition. In this paper, we address data scarcity issue in egocentric action recognit…
DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation
Peiyao Wang, Haibin Ling
Fully supervised action segmentation works on frame-wise action recognition with dense annotations and often suffers from the over-segmentation issue. Existing works have proposed…
The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector
Caixia Zhou, Yaping Huang, Mengyang Pu +3
Deep learning-based edge detectors heavily rely on pixel-wise labels which are often provided by multiple annotators. Existing methods fuse multiple annotations using a simple voti…
CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network
Ruyi Lian, Haibin Ling
Estimating the 6-DoF pose of a rigid object from a single RGB image is a crucial yet challenging task. Recent studies have shown the great potential of dense correspondence-based s…
CCTV-Gun: Benchmarking Handgun Detection in CCTV Images
Srikar Yellapragada, Zhenghong Li, Kevin Bhadresh Doshi +6
Gun violence is a critical security problem, and it is imperative for the computer vision community to develop effective gun detection algorithms for real-world scenarios, particul…
The Cascaded Forward Algorithm for Neural Network Training
Gongpei Zhao, Tao Wang, Yidong Li +3
Backpropagation algorithm has been widely used as a mainstream learning procedure for neural networks in the past decade, and has played a significant role in the development of de…
Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
Libo Zhang, Wenzhang Zhou, Heng Fan +2
Domain adaptive detection aims to improve the generalization of detectors on target domain. To reduce discrepancy in feature distributions between two domains, recent approaches ac…