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2020 – today
- 2024
[c5]Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Hongwei Xie, Bing Wang, Li Liu, Shanghang Zhang:
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. ICRA 2024: 12404-12411- [c4]Cheng Yang, Rui Xu, Ye Guo, Peixiang Huang, Yiru Chen, Wenkui Ding, Zhongyuan Wang, Hong Zhou:
Improving Vision-and-Language Reasoning via Spatial Relations Modeling. WACV 2024: 758-767 - [i8]Xiaomin Wu, Rui Xu, Pengchen Wei, Wenkang Qin, Peixiang Huang, Ziheng Li, Lin Luo:
PathInsight: Instruction Tuning of Multimodal Datasets and Models for Intelligence Assisted Diagnosis in Histopathology. CoRR abs/2408.07037 (2024) - 2023
- [c3]Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo:
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology. BIBM 2023: 1144-1149 - [c2]Rui Xu, Wenkang Qin, Peixiang Huang, Hao Wang, Lin Luo:
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training. BMVC 2023: 828 - [i7]Mingjie Pan, Li Liu, Jiaming Liu, Peixiang Huang, Longlong Wang, Shanghang Zhang, Shaoqing Xu, Zhiyi Lai, Kuiyuan Yang:
UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering. CoRR abs/2306.09117 (2023) - [i6]Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, Shanghang Zhang:
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. CoRR abs/2309.09502 (2023) - [i5]Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo:
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology. CoRR abs/2310.20427 (2023) - [i4]Wenkang Qin, Rui Xu, Peixiang Huang, Xiaomin Wu, Heyu Zhang, Lin Luo:
What a Whole Slide Image Can Tell? Subtype-guided Masked Transformer for Pathological Image Captioning. CoRR abs/2310.20607 (2023) - [i3]Rui Xu, Wenkang Qin, Peixiang Huang, Hao Wang, Lin Luo:
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training. CoRR abs/2311.05143 (2023) - [i2]Cheng Yang, Rui Xu, Ye Guo, Peixiang Huang, Yiru Chen, Wenkui Ding, Zhongyuan Wang, Hong Zhou:
Improving Vision-and-Language Reasoning via Spatial Relations Modeling. CoRR abs/2311.05298 (2023) - 2022
- [i1]Peixiang Huang, Li Liu, Renrui Zhang, Song Zhang, Xinli Xu, Baichao Wang, Guoyi Liu:
TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning. CoRR abs/2212.13979 (2022)
2010 – 2019
- 2019
- [c1]Peixiang Huang, Runhui Huang, Jianjie Huang, Rushi Yangchen, Zongyao He, Xiying Li, Junzhou Chen:
Deep Feature Fusion with Multiple Granularity for Vehicle Re-identification. CVPR Workshops 2019: 80-88
Coauthor Index
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