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Zhaoxiang Zhang

4 papers hereh-index 10355 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Zhaoxiang Zhang — 59 papers, h 60
  • Zhaoxiang Zhang — 27 papers, h 13
  • Zhaoxiang Zhang — 23 papers, h 14
  • Zhaoxiang Zhang — 17 papers, h 8
  • Zhaoxiang Zhang — 13 papers, h 8
  • Zhaoxiang Zhang — 11 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedFully Sparse Fusion for 3D Object Detection

49 citations · 70 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 8 cited

Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Hanqiu Deng, Zhaoxiang Zhang, Jinan Bao +1

Contrastive Language-Image Pre-training (CLIP) models have shown promising performance on zero-shot visual recognition tasks by learning visual representations under natural langua…

cs.CV2023★ 49 cited

Fully Sparse Fusion for 3D Object Detection

Yingyan Li, Lue Fan, Yang Liu +4

Currently prevalent multimodal 3D detection methods are built upon LiDAR-based detectors that usually use dense Bird's-Eye-View (BEV) feature maps. However, the cost of such BEV fe…

cs.CV2022

Pointly-Supervised Panoptic Segmentation

Junsong Fan, Zhaoxiang Zhang, Tieniu Tan

In this paper, we propose a new approach to applying point-level annotations for weakly-supervised panoptic segmentation. Instead of the dense pixel-level labels used by fully supe…

cs.CV2022★ 13 cited

Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes

Zengjie Song, Yuxi Wang, Junsong Fan +2

Sound source localization in visual scenes aims to localize objects emitting the sound in a given image. Recent works showing impressive localization performance typically rely on…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.