Group-wise Deep Co-saliency Detection. - Lina Wei; Shanshan Zhao 001; Omar El Farouk Bourahla; Xi Li 001; Fei Wu 001 (IJCAI, 2017)

Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning. - Shanshan Zhao 001; Xi Li 001; Omar El Farouk Bourahla (IJCAI, 2017)

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. - Shanshan Zhao 001; Huan Fu; Mingming Gong; Dacheng Tao (CVPR, 2019)

Deep Group-Wise Fully Convolutional Network for Co-Saliency Detection With Graph Propagation. - Lina Wei; Shanshan Zhao 001; Omar El Farouk Bourahla; Xi Li 001; Fei Wu 001; Yueting Zhuang (IEEE Trans. Image Process., 2019)

Short-Term and Long-Term Context Aggregation Network for Video Inpainting. - Ang Li 008; Shanshan Zhao 001; Xingjun Ma; Mingming Gong; Jianzhong Qi 001; Rui Zhang 003; Dacheng Tao; Ramamohanarao Kotagiri (ECCV (4), 2020)

Domain Generalization via Entropy Regularization. - Shanshan Zhao 001; Mingming Gong; Tongliang Liu; Huan Fu; Dacheng Tao (NeurIPS, 2020)

Adaptive Context-Aware Multi-Modal Network for Depth Completion. - Shanshan Zhao 001; Mingming Gong; Huan Fu; Dacheng Tao (IEEE Trans. Image Process., 2021)

End-to-End Video Saliency Detection via a Deep Contextual Spatiotemporal Network. - Lina Wei; Shanshan Zhao 001; Omar El Farouk Bourahla; Xi Li 001; Fei Wu 001; Yueting Zhuang; Junwei Han 001; Mingliang Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. - Yu Feng; Benteng Ma; Jing Zhang 037; Shanshan Zhao 001; Yong Xia 001; Dacheng Tao (CVPR, 2022)

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis. - Yaqian Liang; Shanshan Zhao 001; Baosheng Yu; Jing Zhang 037; Fazhi He (ECCV (3), 2022)

Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting. - Ang Li 008; Shanshan Zhao 001; Qingjie Zhang; Qiuhong Ke (IJCAI, 2022)

MetaComp: Learning to Adapt for Online Depth Completion. - Yang Chen; Shanshan Zhao 001; Wei Ji 008; Mingming Gong; Liping Xie (CoRR, 2022)

Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis. - Shanshan Zhao 001; Mingming Gong; Xi Li 001; Dacheng Tao (CoRR, 2022)

Video-Audio Domain Generalization via Confounder Disentanglement. - Shengyu Zhang 001; Xusheng Feng; Wenyan Fan; Wenjing Fang; Fuli Feng; Wei Ji 008; Shuo Li; Li Wang 056; Shanshan Zhao 001; Zhou Zhao 001; Tat-Seng Chua; Fei Wu 001 (AAAI, 2023)

DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. - Maoyuan Ye; Jing Zhang 037; Shanshan Zhao 001; Juhua Liu; Bo Du 001; Dacheng Tao (AAAI, 2023)

DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting. - Maoyuan Ye; Jing Zhang 037; Shanshan Zhao 001; Juhua Liu; Tongliang Liu; Bo Du 001; Dacheng Tao (CVPR, 2023)

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation. - Zongyi Xu; Bo Yuan; Shanshan Zhao 001; Qianni Zhang; Xinbo Gao 001 (ICCV, 2023)

Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation. - Yiyang Chen; Shanshan Zhao 001; Changxing Ding; Liyao Tang; Chaoyue Wang; Dacheng Tao (ACM Multimedia, 2023)

PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions. - Wenjie Xuan; Shanshan Zhao 001; Yu Yao 005; Juhua Liu; Tongliang Liu; Yixin Chen 001; Bo Du 001; Dacheng Tao (ACM Multimedia, 2023)

ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding. - Lunhao Duan; Shanshan Zhao 001; Nan Xue 001; Mingming Gong; Gui-Song Xia; Dacheng Tao (NeurIPS, 2023)

All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation. - Liyao Tang; Zhe Chen 013; Shanshan Zhao 001; Chaoyue Wang; Dacheng Tao (NeurIPS, 2023)

Domain Re-Modulation for Few-Shot Generative Domain Adaptation. - Yi Wu 018; Ziqiang Li 001; Chaoyue Wang; Heliang Zheng; Shanshan Zhao 001; Bin Li 025; Dacheng Tao (NeurIPS, 2023)

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. - Chao Xue; Wei Liu 005; Shuai Xie; Zhenfang Wang; Jiaxing Li; Xuyang Peng; Liang Ding 006; Shanshan Zhao 001; Qiong Cao; Yibo Yang; Fengxiang He; Bohua Cai; et al. (CoRR, 2023)

BEVSimDet: Simulated Multi-modal Distillation in Bird's-Eye View for Multi-view 3D Object Detection. - Haimei Zhao; Qiming Zhang 001; Shanshan Zhao 001; Jing Zhang 037; Dacheng Tao (CoRR, 2023)

Optical Quantum Sensing for Agnostic Environments via Deep Learning. - Zeqiao Zhou; Yuxuan Du; Xu-Fei Yin; Shanshan Zhao 001; Xinmei Tian 001; Dacheng Tao (CoRR, 2023)

Deep Corner. - Shanshan Zhao 001; Mingming Gong; Haimei Zhao; Jing Zhang 037; Dacheng Tao (Int. J. Comput. Vis., 2023)

Deep Blind Image Quality Assessment Powered by Online Hard Example Mining. - Zhihua Wang 002; Qiuping Jiang; Shanshan Zhao 001; Wensen Feng; Weisi Lin (IEEE Trans. Multim., 2023)

Recent Advances for Quantum Neural Networks in Generative Learning. - Jinkai Tian; Xiaoyu Sun; Yuxuan Du; Shanshan Zhao 001; Qing Liu 027; Kaining Zhang; Wei Yi; Wanrong Huang; Chaoyue Wang; Xingyao Wu; Min-Hsiu Hsieh; Tongliang Liu; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection. - Haimei Zhao; Qiming Zhang 001; Shanshan Zhao 001; Zhe Chen 013; Jing Zhang 037; Dacheng Tao (AAAI, 2024)

Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis. - Yiyang Chen; Lunhao Duan; Shanshan Zhao 001; Changxing Ding; Dacheng Tao (CVPR, 2024)

UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather. - Haimei Zhao; Jing Zhang 037; Zhuo Chen; Shanshan Zhao 001; Dacheng Tao (CVPR, 2024)

When ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability. - Wenjie Xuan; Yufei Xu; Shanshan Zhao 001; Chaoyue Wang; Juhua Liu; Bo Du 001; Dacheng Tao (ACM Multimedia, 2024)

Weakly Supervised Video Moment Retrieval via Location-irrelevant Proposal Learning. - Wei Ji 008; Ruiqi Shi; Yinwei Wei; Shanshan Zhao 001; Roger Zimmermann (WWW (Companion Volume), 2024)

Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment. - Liyao Tang; Zhe Chen 013; Shanshan Zhao 001; Chaoyue Wang; Dacheng Tao (CoRR, 2024)

Non-target Divergence Hypothesis: Toward Understanding Domain Gaps in Cross-Modal Knowledge Distillation. - Yilong Chen; Zongyi Xu; Xiaoshui Huang; Shanshan Zhao 001; Xinqi Jiang; Xinyu Gao; Xingbo Gao 001 (CoRR, 2024)

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation. - Lunhao Duan; Shanshan Zhao 001; Wenjun Yan; Yinglun Li; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; Mingming Gong; Gui-Song Xia (CVPR, 2025)

Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation. - Yilong Chen; Zongyi Xu; Xiaoshui Huang; Shanshan Zhao 001; Xinqi Jiang; Xinyu Gao; Xinbo Gao 001 (IEEE Trans. Multim., 2025)

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation. - Lunhao Duan; Shanshan Zhao 001; Xingxing Weng; Jing Zhang 037; Gui-Song Xia (CoRR, 2025)

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning. - Yiyang Chen; Shanshan Zhao 001; Lunhao Duan; Changxing Ding; Dacheng Tao (CoRR, 2025)