activity
20212025
most citedTransformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

52 citations · 54 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving

Jialin Li, Shuqi Wu, Ning Wang

Re-Identification (ReID) is a critical technology in intelligent perception systems, especially within autonomous driving, where onboard cameras must identify pedestrians across vi…

cs.CV2024★ 1 cited

ContextDet: Temporal Action Detection with Adaptive Context Aggregation

Ning Wang, Yun Xiao, Xiaopeng Peng +3

Temporal action detection (TAD), which locates and recognizes action segments, remains a challenging task in video understanding due to variable segment lengths and ambiguous bound…

cs.CV2023★ 1 cited

Cycle-Consistency Learning for Captioning and Grounding

Ning Wang, Jiajun Deng, Mingbo Jia

We present that visual grounding and image captioning, which perform as two mutually inverse processes, can be bridged together for collaborative training by careful designs. By co…

cs.CV2021

Joint Inductive and Transductive Learning for Video Object Segmentation

Yunyao Mao, Ning Wang, Wengang Zhou +1

Semi-supervised video object segmentation is a task of segmenting the target object in a video sequence given only a mask annotation in the first frame. The limited information ava…

cs.CV2021★ 52 cited

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

Ning Wang, Wengang Zhou, Jie Wang +1

In video object tracking, there exist rich temporal contexts among successive frames, which have been largely overlooked in existing trackers. In this work, we bridge the individua…