Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation. - Bowen Zhang 009; Yifan Liu 001; Zhi Tian; Chunhua Shen (NeurIPS, 2021)

SegViT: Semantic Segmentation with Plain Vision Transformers. - Bowen Zhang 009; Zhi Tian; Quan Tang 001; Xiangxiang Chu; Xiaolin Wei; Chunhua Shen; Yifan Liu 001 (NeurIPS, 2022)

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. - Ziqin Zhou; Yinjie Lei; Bowen Zhang 009; Lingqiao Liu; Yifan Liu 001 (CVPR, 2023)

Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation. - Quan Tang 001; Bowen Zhang 009; Jiajun Liu; Fagui Liu; Yifan Liu 001 (ICCV, 2023)

SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. - Bowen Zhang 009; Liyang Liu; Minh-Hieu Phan; Zhi Tian; Chunhua Shen; Yifan Liu 001 (CoRR, 2023)

BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation. - Liyang Liu; Zihan Wang; Minh-Hieu Phan; Bowen Zhang 009; Yifan Liu 001 (CoRR, 2023)

Category Feature Transformer for Semantic Segmentation. - Quan Tang 001; Chuanjian Liu; Fagui Liu; Yifan Liu 001; Jun Jiang 003; Bowen Zhang 009; Kai Han 002; Yunhe Wang 001 (CoRR, 2023)

Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment. - Qi Chen 014; Chaorui Deng; Zixiong Huang; Bowen Zhang 009; Mingkui Tan; Qi Wu 001 (CoRR, 2023)

SegReg: Segmenting OARs by Registering MR Images and CT Annotations. - Zeyu Zhang 006; Xuyin Qi; Bowen Zhang 009; Biao Wu 006; Hien Le; Bora Jeong; Minh-Son To; Richard Hartley 001 (CoRR, 2023)

Instance and Panoptic Segmentation Using Conditional Convolutions. - Zhi Tian; Bowen Zhang 009; Hao Chen 041; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion. - Bowen Zhang 009; Qing Liu 017; Jianming Zhang 001; Yilin Wang 002; Liyang Liu; Zhe Lin 001; Yifan Liu 001 (AAAI, 2024)

Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework. - Vu Minh Hieu Phan; Yutong Xie 001; Yuankai Qi; Lingqiao Liu; Liyang Liu; Bowen Zhang 009; Zhibin Liao; Qi Wu 001; Minh-Son To; Johan W. Verjans (CVPR, 2024)

SegReg: Segmenting OARs by Registering MR Images and CT Annotations. - Zeyu Zhang 006; Xuyin Qi; Bowen Zhang 009; Biao Wu 006; Hien Le; Bora Jeong; Zhibin Liao; Yunxiang Liu; Johan Verjans; Minh-Son To; Richard I. Hartley (ISBI, 2024)

Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. - Vu Minh Hieu Phan; Yutong Xie 001; Bowen Zhang 009; Yuankai Qi; Zhibin Liao; Antonios Perperidis; Son Lam Phung; Johan W. Verjans; Minh-Son To (MICCAI (7), 2024)

BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation. - Liyang Liu; Zihan Wang; Minh Hieu Phan; Bowen Zhang 009; Jinchao Ge; Yifan Liu 001 (WACV, 2024)

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. - Yangyang Shu; Xiaofeng Cao; Qi Chen 014; Bowen Zhang 009; Ziqin Zhou; Anton van den Hengel; Lingqiao Liu (CoRR, 2024)

ESA: Annotation-Efficient Active Learning for Semantic Segmentation. - Jinchao Ge; Zeyu Zhang 006; Minh Hieu Phan; Bowen Zhang 009; Akide Liu; Yang Zhao 019 (CoRR, 2024)

CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation. - Jinchao Ge; Bowen Zhang 009; Akide Liu; Minh Hieu Phan; Qi Chen 014; Yangyang Shu; Yang Zhao 019 (CoRR, 2024)

SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. - Bowen Zhang 009; Liyang Liu; Minh Hieu Phan; Zhi Tian; Chunhua Shen; Yifan Liu 001 (Int. J. Comput. Vis., 2024)

CIT: Rethinking class-incremental semantic segmentation with a Class Independent Transformation. - Jinchao Ge; Bowen Zhang 009; Akide Liu; Vu Minh Hieu Phan; Qi Chen 014; Yangyang Shu; Yang Zhao 019 (Pattern Recognit., 2025)

Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation. - Quan Tang 001; Chuanjian Liu; Fagui Liu; Jun Jiang 003; Bowen Zhang 009; C. L. Philip Chen; Kai Han 002; Yunhe Wang 001 (IEEE Trans. Image Process., 2025)

Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale. - Yangyang Shu; Yuhang Liu 002; Xiaofeng Cao; Qi Chen 014; Bowen Zhang 009; Ziqin Zhou; Anton van den Hengel; Lingqiao Liu (Trans. Mach. Learn. Res., 2025)