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    • Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding
      Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi#.
      IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
      [Code]
    • Object-Centric Representation Learning for Video Scene Understanding
      Yi Zhou, Hui Zhang, Seung-In Park, ByungIn Yoo, Xiaojuan Qi#.
      IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
      [Code]
    • Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
      Chuofan Ma, Yi Jiang, Jiannan Wu, Zehuan Yuan, Xiaojuan Qi.
      European Conference on Computer Vision (ECCV), 2024.
      [Project Page]
    • RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
      Jihan Yang, Runyu Ding, Weipeng Deng, Zhe Wang, Xiaojuan Qi.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
      [Project Page]
    • V-IRL: Grounding Virtual Intelligence in Real Life
      Jihan Yang, Runyu Ding, Ellis L. Brown, Xiaojuan Qi, Saining Xie.
      European Conference on Computer Vision (ECCV), 2024.
      [Project Page]
    • Splatter a Video: Video Gaussian Representation for Versatile Processing
      Yang-Tian Sun*, Yi-Hua Huang*, Lin Ma, Xiaoyang Lyu, Yan-Pei Cao, Xiaojuan Qi.
      Conference on Neural Information Processing Systems (NeurIPS), 2024.
      [Project Page]
    • Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting
      Ziyi Yang, Xinyu Gao, Yangtian Sun, Yihua Huang, Xiaoyang Lyu, Wen Zhou, Shaohui Jiao, Xiaojuan Qi, Xiaogang Jin.
      Conference on Neural Information Processing Systems (NeurIPS), 2024.
      [Project Page]
    • TEXGen: A Generative Diffusion Model for Mesh Textures
      Xin Yu, Ze Yuan, Yuan-Chen Guo, Ying-Tian Liu, Jianhui Liu, Yangguang Li, Yan-Pei Cao, Ding Liang, Xiaojuan Qi#.
      ACM Transactions on Graphics (TOG) (also appeared in SIGGRAPH Asia), 2024. Best Paper Honorable Mention
      [Code]
    • 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting
      Xiaoyang Lyu, Yang-Tian Sun, Yi-Hua Huang, Xiuzhe Wu, Ziyi Yang, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi#.
      ACM Transactions on Graphics (TOG) (also appeared in SIGGRAPH Asia), 2024.
      [Code]
    • Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction
      Xiaoyang Lyu*, Chirui Chang*, Peng Dai, Yang-Tian Sun, Xiaojuan Qi.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. Highlight (3.6 % acceptance)
      [Code]
    • SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
      Yi-Hua Huang, Yang-Tian Sun, Ziyi Yang, Xiaoyang Lyu, Yan-Pei Cao, Xiaojuan Qi.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
      [Code]
    • EscherNet: A Generative Model for Scalable View Synthesis
      Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew Davison.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. Oral (0.8 % acceptance)
      [Project Page]
    • 3D-Aware Text-Driven Talking Avatar Generation
      Xiuzhe Wu, Yang-Tian Sun, Handi Chen, Hang Zhou, Jingdong Wang, Zhengzhe Liu, Xiaojuan Qi.
      European Conference on Computer Vision (ECCV), 2024.
      [Project Page]
    • UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation
      Zexiang Liu, Yangguang Li, Youtian Lin, Xin Yu, Sida Peng, Yan-Pei Cao, Xiaojuan Qi, Xiaoshui Huang, Ding Liang*, Wanli Ouyang.
      European Conference on Computer Vision (ECCV), 2024.
      [Project Page]
    • Text-to-3D with Classifier Score Distillation
      Xin Yu, Yuan-Chen Guo, Yangguang Li, Ding Liang, Song-Hai Zhang, Xiaojuan Qi.
      International Conference on Learning Representations (ICLR), 2024.
      [Code]
    • What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
      Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi.
      Conference on Neural Information Processing Systems (NeurIPS), 2024.
      [Project Page]
    • Decoupled Kullback-Leibler (DKL) Divergence Loss
      Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang.
      Conference on Neural Information Processing Systems (NeurIPS), 2024.
      [Project Page]
    • BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
      Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi.
      International Conference on Machine Learning (ICML), 2024.
      [Project Page]
    • Can OOD Object Detectors Learn from Foundation Models?
      Jiahui Liu, Xin Wen, Shizhen Zhao, Yingxian Chen, Xiaojuan Qi.
      European Conference on Computer Vision (ECCV), 2024.
      [Project Page]
    • SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training
      Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, Jiaya Jia.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
      [Project Page]
    • Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
      Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
      [Project Page]
    • Diffusion-Based Deep Learning Method for Augmenting Ultrastructural Imaging and Volume Electron Microscopy
      Chixiang Lu, Kai Chen, Heng Qiu, Xiaojun Chen, Gu Chen, Xiaojuan Qi#, Haibo Jiang#.
      Nature Communications, 2024.
      [Code]
    • Tool to Resolve Distortions in Elemental and Isotopic Imaging
      Chixiang Lu, Gu Chen, Wenxin Song, Kai Chen, Charmaine Hee, Mehran Nikan, Paul Guagliardo, C. Frank Bennett, Punit Seth, Killugudi S. Iyer, Stephen G. Young, Xiaojuan Qi#, Haibo Jiang#.
      Journal of the American Chemical Society (JACS), 2024.
      [Code]
    • High-Dimensional Anticounterfeiting Nanodiamonds Authenticated with Deep Metric Learning
      Lingzhi Wang*, Xin Yu*, Tongtong Zhang, Yong Hou, Dangyuan Lei, Xiaojuan Qi#, Zhiqin Chu#.
      Nature Communications, 2024.
      [Code]
    • CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
      Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi
      Conference on Neural Information Processing Systems (NeurIPS), 2023.
      [Code]
    • Data Pruning via Moving-one-Sample-out
      Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi
      Conference on Neural Information Processing Systems (NeurIPS), 2023.
      [Code]
    • CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
      Xiuzhe Wu, Peng Dai, Weipeng Deng, Handi Chen, Yang Wu, Yan-Pei Cao, Ying Shan, Xiaojuan Qi
      Conference on Neural Information Processing Systems (NeurIPS), 2023.
      [Code]
    • EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation
      Zhengzhe Liu, Jingyu Hu, Ka-Hei Hui, Xiaojuan Qi#, Daniel Cohen-Or, Chi-Wing Fu#
      ACM Transactions on Graphics (TOG)  — SIGGRAPH Asia, 2023.
      [Code]
    • DreamStone: Image as a Stepping Stone for Text-Guided 3D Shape Generation
      Zhengzhe Liu, Peng Dai, Xiaojuan Qi#, Chi-Wing Fu#
      IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
      [Code]
    • Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
      Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang#
      IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
    • Parametric Classification for Generalized Category Discovery: A Baseline Study
      Xin Wen*, Bingchen Zhao*, Xiaojuan Qi
      IEEE International Conference on Computer Vision (ICCV), 2023.
      [Code]
    • Texture Generation on 3D Meshes with Point-UV Diffusion
      Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi
      IEEE International Conference on Computer Vision (ICCV), 2023. Oral (2.4% acceptance)
      [Code]
    • Prior-free Category-level Pose Estimation with Implicit Space Transformation
      Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi
      IEEE International Conference on Computer Vision (ICCV), 2023.
      [Code]
    • Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
      Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi
      IEEE International Conference on Computer Vision (ICCV), 2023.
      [Code]
    • Speech2Lip: High-Fidelity Speech-to-Lip Generation by Learning from a Short Video
      Xiuzhe Wu, Pengfei Hu, Yang Wu, Xiaoyang Lyu, Yan-Pei Cao, Ying Shan, Wenming Yang, Zhongqian Sun, Xiaojuan Qi
      IEEE International Conference on Computer Vision (ICCV), 2023.
      [Code]
    • PLA: Language-Driven Open-Vocabulary 3D Scene Understanding
      Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
      [Code]
    • Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur
      Peng Dai*, Yinda Zhang*, Xin Yu, Xiaoyang Lyu, Xiaojuan Qi
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
      [Code]
    • MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
      Jiahui Liu*, Chirui Chang*, Jianhui Liu, Xiaoyang Wu, Lan Ma, Xiaojuan Qi
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
      [Code]
    • LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
      Yukang Chen*, Jianhui Liu*, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
      [Code]
    • VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
      Yukang Chen*, Jianhui Liu*, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
      [Code]
    • Command-Driven Articulated Object Understanding and Manipulation
      Ruihang Chu, Zhengzhe Liu, Xiaoqing Ye, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
      [Code]
    • Understanding Imbalanced Semantic Segmentation Through Neural Collapse
      Zhisheng Zhong*, Jiequan Cui*, Yibo Yang*, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
      [Code]
    • DPACS: Hardware-Accelerated Dynamic Neural Network Pruning through Algorithm-Architecture Co-design
      Yizhao Gao*, Baoheng Zhang*, Xiaojuan Qi, Hayden Kwok-Hay So
      ACM ASPLOS, 2023.
    • Is Synthetic Data from Generative Models Ready for Image Recognition?
      Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip Torr, Song Bai, Xiaojuan Qi
      International Conference on Learning Representations (ICLR), 2023. Spotlight
      [Code]
    • ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
      Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
      International Conference on Learning Representations (ICLR), 2023. Spotlight
      [Code] [Project Page]
    • St3d++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection
      Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi#
      IEEE Transactions on Pattern Analysis & Machine Intelligence (TPAMI), 2022.
      [Code]
    • Self-Supervised Visual Representation Learning with Semantic Grouping
      Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi
      Conference on Neural Information Processing Systems (NeurIPS), 2022.
      [Code]
    • Towards Efficient 3D Object Detection with Knowledge Distillation
      Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi
      Conference on Neural Information Processing Systems (NeurIPS), 2022.
      [Code]
    • Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
      Shizhen Zhao, Xiaojuan Qi
      Conference on Neural Information Processing Systems (NeurIPS), 2022.
      [Code]
    • Rethinking Resolution in the Context of Efficient Video Recognition
      Chuofan Ma, Qiushan Guo, Yi Jiang, Ping Luo, Zehuan Yuan, Xiaojuan Qi
      Conference on Neural Information Processing Systems (NeurIPS), 2022.
      [Code]
    • Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
      Jianhui Liu*, Yukang Chen*, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi
      Conference on Neural Information Processing Systems (NeurIPS), 2022.
      [Code]
    • Unifying Voxel-based Representation with Transformer for 3D Object Detection
      Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, Jiaya Jia
      Conference on Neural Information Processing Systems (NeurIPS), 2022.
      [Code]
    • DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
      Runyu Ding*, Jihan Yang*, Li Jiang, Xiaojuan Qi
      European Conference on Computer Vision (ECCV), 2022.
      [Code]
    • Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
      Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi
      European Conference on Computer Vision (ECCV), 2022.
      [Code]
    • Knowledge Distillation as Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability
      Ruifei He, Shuyang Sun*, Jihan Yang*, Song Bai, Xiaojuan Qi
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
      [Code]
    • HINT: Hierarchical Neuron Concept Explainer
      Andong Wang, Wei-Ning Lee, Xiaojuan Qi
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
      [Code]
    • Video Demoireing with Relation-Based Temporal Consistency
      Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
      [Code]
    • Voxel Field Fusion for 3D Object Detection
      Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
      [Code]
    • Stratified Transformer for 3D Point Cloud Segmentation
      Xin Lai*, Jianhui Liu*, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
      [Code]
    • Towards Implicit Text-Guided 3D Shape Generation
      Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
      [Code]
    • Slot-VPS: Object-Centric Representation Learning for Video Panoptic Segmentation
      Yi Zhou, Hui Zhang, Hana Lee, Shuyang Sun, Pingjun Li, Yangguang Zhu, ByungIn Yoo, Xiaojuan Qi, Jae-Joon Han
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
    • TWIST: Two-Way Inter-Label Self-Training for Semi-Supervised 3D Instance Segmentation
      Ruihang Chu, Xiaoqing Ye, Zhengzhe Liu, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
      [Code]
    • Progressive End-to-End Object Detection in Crowded Scenes
      Anlin Zheng, Yuang Zhang, Xiangyu Zhang, Xiaojuan Qi, Jian Sun
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
      [Code]
    • Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
      Ruifei He*, Jihan Yang*, Xiaojuan Qi
      IEEE International Conference on Computer Vision (ICCV), 2021. Oral (3.4% acceptance)
      [Code]
    • Aggregation with Feature Detection
      Shuyang Sun, Xiaoyu Yue, Xiaojuan Qi, Wanli Ouyang, Victor Prisacariu, Philip H.&S. Torr
      IEEE International Conference on Computer Vision (ICCV), 2021.
    • ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
      Jihan Yang*, Shaoshuai Shi*, Zhe Wang, Hongsheng Li, Xiaojuan Qi
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
      [Code]
    • PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
      Mutian Xu*, Runyu Ding*, Hengshuang Zhao, Xiaojuan Qi
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
      [Code]
    • 3D-to-2D Distillation for Indoor Scene Parsing
      Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Oral (4.3% acceptance)
      [Code]
    • Fully Convolutional Networks for Panoptic Segmentation
      Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Oral (4.3% acceptance)
      [Code]
    • One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
      Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
      [Code]
    • Lightweight Generative Adversarial Networks for Text-guided Image Manipulation
      Bowen Li, Xiaojuan Qi, Philip H.&S. Torr, Thomas Lukasiewicz.
      Conference on Neural Information Processing Systems (NeurIPS), 2020.
    • GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
      Xiaojuan Qi*, Zhengzhe Liu*, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia.
      IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
      [Code] [Training Data]
    • Domain-invariant Stereo Matching Networks
      Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor A. Prisacariu, Benjamin Wah, Philip H. S. Torr.
      European Conference on Computer Vision (ECCV), 2020. Oral (2% acceptance)
      [Code]
    • Few-shot Action Recognition via Improved Attention with Self-supervision
      Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H.&S. Torr, Piotr Koniusz.
      European Conference on Computer Vision (ECCV), 2020. Spotlight (5% acceptance)
    • CN: Channel Normalization for Point Cloud Recognition
      Zetong Yang*, Yanan Sun*, Shu Liu, Xiaojuan Qi, Jiaya Jia.
      European Conference on Computer Vision (ECCV), 2020.
    • Memory Selection Network for Video Propagation
      Ruizheng Wu*, Huaijia Lin*, Xiaojuan Qi, Jiaya Jia.
      European Conference on Computer Vision (ECCV), 2020.
    • Global Texture Enhancement for Fake Face Detection in the Wild
      Zhengzhe Liu, Xiaojuan Qi, Philip H.&S. Torr.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
      [Code]
    • Unifying Training and Inference for Panoptic Segmentation
      Qizhu Li, Xiaojuan Qi, Philip H.&S. Torr.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    • ManiGAN: Text-Guided Image Manipulation
      Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H.&S. Torr.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
      [Code]
    • Controllable Text-to-Image Generation
      Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H.S. Torr.
      Conference on Neural Information Processing Systems (NeurIPS), 2019.
      [Code]
    • AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation
      Huaijia Lin, Xiaojuan Qi, Jiaya Jia.
      IEEE International Conference on Computer Vision (ICCV), 2019.
      [Code]
    • Improved Techniques for Training Adaptive Deep Networks
      Hao Li*, Hong Zhang*, Xiaojuan Qi, Ruigang Yang, Gao Huang.
      IEEE International Conference on Computer Vision (ICCV), 2019.
    • 3D Motion Decomposition for RGB-D Future Dynamic Scene Synthesis
      Xiaojuan Qi*, Zhengzhe Liu*, Qifeng Chen, Jiaya Jia.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
    • Image Inpainting via Generative Multi-column CNNs
      Yi Wang, Xin Tao, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia.
      Conference on Neural Information Processing Systems (NIPS), 2018.
      [Code]
    • ICNet for Real-Time Semantic Segmentation on High-Resolution Images
      Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia.
      European Conference on Computer Vision (ECCV), 2018.
      [Code]
    • GAL: Geometric Adversarial Loss for Single-View 3D Object Reconstruction
      Li Jiang, Shaoshuai Shi, Xiaojuan Qi, Jiaya Jia.
      European Conference on Computer Vision (ECCV), 2018. Oral (2.1% acceptance)
    • Self-Boosted Gesture Interactive System with ST-Net
      Zhengzhe Liu*, Xiaojuan Qi*, Lei Pang.
      ACM Multimedia Conference (ACM MM), 2018. Full Research Paper
    • GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
      Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
      [Code]
    • Semi-parametric Image Synthesis
      Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Oral (2.1% acceptance)
      [Code]
    • Referring Image Segmentation via Recurrent Refinement Networks
      Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
    • 3D Graph Neural Networks for RGB-D Semantic Segmentation
      Xiaojuan Qi, Renjie Liao, Jiaya Jia, Sanja Fidler, Raquel Urtasun.
      IEEE International Conference on Computer Vision (ICCV), 2017. Oral (2.1% acceptance)
      [Code]
    • Pyramid Scene Parsing Network
      Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Winner – ImageNet Scene Parsing Challenge 2016
      [Project & Code]
    • Augmented Feedback in Semantic Segmentation under Image-Level Supervision
      Xiaojuan Qi, Zhengzhe Liu, Jianping Shi, Jiaya Jia.
      European Conference on Computer Vision (ECCV), 2016.
    • DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
      Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
    • Multi-scale Patch Aggregation for Simultaneous Detection and Segmentation
      Shu Liu, Xiaojuan Qi, Jianping Shi, Jiaya Jia.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Oral (3.9% acceptance)
    • Deep Contextual Networks for Neuronal Structure Segmentation
      Hao Chen*, Xiaojuan Qi*, Jie-Zhi Cheng, Pheng-Ann Heng.
      AAAI Conference on Artificial Intelligence (AAAI), 2016. Oral
    • Semantic Segmentation with Object Clique Potential
      Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia.
      IEEE International Conference on Computer Vision (ICCV), 2015.

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