most citedDiP: Learning Discriminative Implicit Parts for Person Re-Identification

11 citations · 47 across the 7 of their papers we have counts for

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cs.CV2023★ 4 cited

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields

Wenbo Hu, Yuling Wang, Lin Ma +4

Despite the tremendous progress in neural radiance fields (NeRF), we still face a dilemma of the trade-off between quality and efficiency, e.g., MipNeRF presents fine-detailed and…

cs.CV2023★ 11 cited

Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking

Feng Yan, Weixin Luo, Yujie Zhong +2

Existing end-to-end Multi-Object Tracking (e2e-MOT) methods have not surpassed non-end-to-end tracking-by-detection methods. One potential reason is its label assignment strategy d…

cs.CV2023

Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network

Cong Han, Yujie Zhong, Dengjie Li +2

Recently, the open-vocabulary semantic segmentation problem has attracted increasing attention and the best performing methods are based on two-stream networks: one stream for prop…

cs.CV2023★ 6 cited

Adaptive Sparse Pairwise Loss for Object Re-Identification

Xiao Zhou, Yujie Zhong, Zhen Cheng +2

Object re-identification (ReID) aims to find instances with the same identity as the given probe from a large gallery. Pairwise losses play an important role in training a strong R…

cs.CV2023★ 10 cited

TriDet: Temporal Action Detection with Relative Boundary Modeling

Dingfeng Shi, Yujie Zhong, Qiong Cao +3

In this paper, we present a one-stage framework TriDet for temporal action detection. Existing methods often suffer from imprecise boundary predictions due to the ambiguous action…

cs.CV2022★ 11 cited

DiP: Learning Discriminative Implicit Parts for Person Re-Identification

Dengjie Li, Siyu Chen, Yujie Zhong +1

In person re-identification (ReID) tasks, many works explore the learning of part features to improve the performance over global image features. Existing methods explicitly extrac…