Research

Research Interests

!! Recently, we have been focusing on 3D/4D generation and diffusion-based modeling of visual data.

1. Multi-dimensional Visual Computing

RGB Images/Videos
Light Fields (various perspectives)
Hyperspectral (rich spectrum)
3D Geometry (geometry structure)
Event (high speed and dynamic range)

2. Applied Machine Learning

Low-rank and Sparse
Deep Clustering

Pre-print

Y. Zhang, et al., ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression, 2025 [Code]
Y. Zhao, et al., FlexPara: Flexible Neural Surface Parameterization, 2025 [Project Page]
Q. Zhang, et al., SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation, 2025
Y. Zhang and J. Hou, Is Contrastive Distillation Enough for Learning Comprehensive 3D Representations?, 2025 [Code]
Y. Tang, et al., HuGDiffusion: Generalizable Single-Image Human Rendering via 3D Gaussian Diffusion, 2025 [Code]
Q. Zhou, J. Hou, et al., Spatially-guided Temporal Aggregation for Robust Event-RGB Optical Flow Estimation, 2025
J. Wang, et al., GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction, 2024 [Project Page]
Y. Yao, et al., SPARE: Symmetrized Point-to-Plane Distance for Robust Non-Rigid Registration, 2024 [Code]
Q. Zhang, J. Hou, et al., ParaNet: Deep Regular Representation for 3D Point Clouds, 2020
J. Jin, J. Hou, et al., Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution, 2020

Selected Refereed Publications [Full List]

Selected Journal Papers

Z. Zhu, et al., Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025. [Project Page]
Y. Zhang, J. Hou, et al., Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025. [Code]
Z. Zhu, J. Hou, et al. Modeling State Shifting via Local-Global Distillation for Event-Frame Gaze Tracking, IEEE Transactions on Mobile Computing (IEEE TMC), 2025 [Code]
Y. Lin, et al., Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method, IEEE Journal of Selected Topics in Signal Processing (IEEE JSTSP), 2025 [Code and Data]
S. Ren and J. Hou, et al., DDM: A Metric for Comparing 3D Shapes Using Directional Distance Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025. [Code]
Y. Tang, et al., HaP: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025 [Code]
C. Yang, et al., Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025 [Project Page]
W. Feng, et al., Unveiling the Power of Self-Supervision for Multi-View Multi-Human Association and Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024 [Code]
G. Lin, et al., On Optimal Sampling for Learning SDF using MLPs Equipped with Positional Encoding, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2024
Y. Zhang, et al., Spatial-Temporal Enhanced DETR Towards Multi-Frame 3D Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024 [Code]
Y. Zeng, J. Hou, et al., Dynamic Point Cloud Sequences as 2D Videos, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024 [Code]
J. Hou, Z. Zhu, J. Hou, et al., Deep Diversity-enhanced Feature Representation of Hyperspectral Images, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024 [Code]
L. Wu, J. Hou, et al., 3D Shape Completion on Unseen Categories: a Weakly-supervised Approach, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2024. [Code]
X. Lyu and J. Hou, Enhancing Low-light Light Field Images with a Deep Compensation Unfolding Network, IEEE Transactions on Image Processing (IEEE TIP), 2024 [Code]
X. Lyu and J. Hou, Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising, International Journal of Computer Vision (IJCV), 2023 [Code]
M. You and J. Hou, Decoupling Dynamic Monocular Videos for Dynamic View Synthesis, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2024. [Code]
Q. Zhang and J. Hou, PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2023 [Code]
P. Zhou, et al., Light Field Depth Estimation via Stitched Epipolar Plane Images, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2023. [Code]
Y. Zhang, et al., A Comprehensive Study of the Robustness of LiDAR-based 3D Detectors against Adversarial Attacks, International Journal of Computer Vision (IJCV), 2023 [Code]
L. Wu, Q. Zhang, J. Hou, and Y. Xu, Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion, EEE Transactions on Multimedia (IEEE TMM), Accept. [Code]
M. You, et al., Learning A Locally Unified Point Cloud for View Synthesis, IEEE Transactions on Image Processing (IEEE TIP), vol. 32, pp. 5610-5622, 2023 [Code]
Y. Zhang, et al., GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation, International Journal of Computer Vision (IJCV), vol. 131, no. 12, pp. 3332-3352, 2023 [Code]
Q. Zhang, et al., PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition, IEEE Transactions on Multimedia (IEEE TMM), Accept. [Code]
J. Jin, M. Guo, J. Hou, et al., Light Field Reconstruction via Deep Adaptive Fusion of Hybrid Lenses, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 45, no. 10, pp. 12050-12067, 2023. [Code]
Y. Qian, J. Hou, et al., Task-Oriented Compact Representation of 3D Point Clouds via A Matrix Optimization-Driven Network, EEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 33, no. 11, pp. 6981-6985, 2023.
Q. Zhang, J. Hou, et al., Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 45, no. 8, pp. 9726-9742, 2023. [Code]
M. Guo, J. Hou, et al., Content-aware Warping for View Synthesis, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 45, no. 8, pp. 9486-9503, 2023. [Code]
Q. Zhang, J. Hou, et al., ReGeoNet: Learning Regular Representations for Large-scale 3D Point Clouds, International Journal of Computer Vision (IJCV), vol. 130, no. 12, pp. 3100-3122, 2022. [Code]
A. Mao, Z. Du, J. Hou, et al., PU-Flow: A Point Cloud Upsampling Network with Normalizing Flows, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022, Accept. [Code]
J. Hou*, Z. Zhu*, J. Hou, et al. Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution, IEEE Transactions on Image Processing (IEEE TIP), vol. 31, pp. 5720 - 5732, 2022. (*joint 1st author) [Code]
J. Jin and J. Hou, Occlusion-aware Unsupervised Learning of Depth from 4-D Light Fields, IEEE Transactions on Image Processing (IEEE TIP), vol. 31, pp. 2216 - 2228, 2022. [Code]
Y. Qian, J. Hou, et al., Deep Magnification-Flexible Upsampling over 3D Point Clouds, IEEE Transactions on Image Processing (IEEE TIP), vol. 30, pp. 8345-8367, 2021. [Code]
S. Yang, J. Hou, et al., Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification, IEEE Transactions on Image Processing (IEEE TIP), vol. 30, pp. 8823-8835, 2021. [Code]
Y. Jia, H. Liu, J. Hou, et al., Self-supervised Symmetric Non-negative Matrix Factorization, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 32, no. 7, pp. 4526-4537, 2022. [Code]
Z. Zhu, H. Liu, J. Hou, et al., Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images, IEEE Transactions on Computational Imaging (IEEE TCI), vol. 7, pp. 1176-1188, 2021. [Code]
M. Guo, J. Hou, et al., Deep Spatial-angular Regularization for Light Field Imaging, Denoising, and Super-resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 44, no. 10, pp. 6094-6110, 2022. [Code]
J. Jin, J. Hou, et al., Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 44, no. 4, pp. 1819 - 1836, 2022. [Code]
H. Liu, et al., Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 32, no. 4, pp. 2013 - 2024, 2022. [Code]
Z. Peng, et al., Maximum Entropy Subspace Clustering Network, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 32, no. 4, pp. 2199 - 2210, 2022. [Code]
C. Li, S. Anwar, J. Hou, et al., Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding, IEEE Transactions on Image Processing (IEEE TIP), vol. 30, pp. 4985-5000, 2021. [Project]
Y. Wang, J. Hou, et al., A Self-training Approach for Point-supervised Object Detection and Counting in Crowds, IEEE Transactions on Image Processing (IEEE TIP), vol. 30, pp. 2876-2887, 2021. [Code]
Y. Jia, H. Liu, J. Hou, et al., Multi-view Spectral Clustering Tailored Tensor Low-rank Representation, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 31, no. 12, pp. 4784-4797, 2021. [Code]
Z. Zhu, J. Hou, et al., Hyperspectral Image Super-resolution via Progressive Zero-centric Residual Learning, IEEE Transactions on Image Processing (IEEE TIP), vol. 30, pp. 1423-1438, 2021. [Code]
J. Hou, Permuted Sparse Representation for 3D Point Clouds, IEEE Signal Processing Letters (IEEE SPL), vol. 26, no. 12, pp. 1847-1851, 2019.
C. Li, C. Guo, W, Ren, R. Cong, J. Hou, et al., An Underwater Image Enhancement Benchmark Dataset and Beyond, IEEE Transactions on Image Processing (IEEE TIP), vol. 29, no. 1, pp. 4376-4389, 2020. [Project page]
Y. Jia, H. Liu, J. Hou, and S. Kwong, Pairwise Constraint Propagation with Dual Adversarial Manifold Regularization, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 31, no. 12, pp. 5575-5587, 2020. [Code]
S. Gu*, J. Hou*, et al., 3D Point Cloud Attribute Compression Using Geometry-guided Sparse Representation, IEEE Transactions on Image Processing (IEEE TIP), vol. 29, no. 1, pp. 796-808, 2020 (*joint 1st author).
H. Yeung*, J. Hou*, et al., Light Field Spatial Super-Resolution Using Deep Efficient Spatial-Angular Separable Convolution, IEEE Transactions on Image Processing (IEEE TIP), vol. 28, no. 5, pp. 2319-2330, 2019. (*joint 1st author) [Code (MATLAB)] [Code (Pytorch)]
J. Chen, J. Hou, et al., Accurate Light Field Depth Estimation with Superpixel Regularization over Partially Occluded Regions, IEEE Transactions on Image Processing (IEEE TIP), vol. 27, no. 10, pp. 4889-4900, 2018. [Code]
J. Hou, J. Chen, and L.-P. Chau, Light Field Image Compression based on Bi-Level View Compensation with Rate-Distortion Optimization, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 29, no. 2, pp. 517-530, 2019.
W. Wu, Y. Jia, S. Kwong, and J. Hou, Pairwise Constraint Propagation Induced Symmetric Nonnegative Matrix Factorization, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 29, no. 12, pp. 6348-6361, 2018. [Code]
S. Mei*, J. Hou*, et al., Simultaneous Spatial and Spectral Low-Rank Representation of Hyperspectral Images for Classification, IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol. 56, no. 5, pp. 2872-2886, 2018. (*joint 1st authors) [Code]
J. Chen, J. Hou, and L.-P. Chau, Light Field Compression with Disparity Guided Sparse Coding based on Structural Key Views, IEEE Transactions on Image Processing (IEEE TIP), vol. 27, no. 1, pp. 314-324, 2018.
J. Hou, et al., Sparse Low-Rank Matrix Approximation for Data Compression, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 27, no. 5, pp. 1043-1054, 2017. [Code]
J. Hou, et al., Human Motion Capture Data Tailored Transform Coding, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), vol. 21, no. 7, pp. 848-859, 2015
J. Hou, et al., Compressing 3D Human Motions via Keyframe based Geometry Videos (KGVs), IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 25, no. 1, pp. 51-62, 2015.
Z.-P. Bian, J. Hou, et al., Fall Detection Based on Body Part Tracking Using a Depth Camera, IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI), vol. 19, no. 2, pp. 430-439, 2015.
J. Hou, et al. A Highly Efficient Compression Framework for Time-Varying 3-D Facial Expressions, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 24, no. 9, pp. 1541-1553, 2014.

Selected Conference Papers

S. Ren, et al., Neural Compression for 3D Geometry Sets, in Proc. IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [Code]
Z. Qian, et al., VOVTrack: Exploring the Potentiality in Raw Videos for Open-Vocabulary Multi-Object Tracking, in Proc. IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [Code]
Z. Qian, et al., COVTrack: Continuous Open-Vocabulary Multi-Object Tracking via Adaptive Multi-Cue Fusion, in Proc. IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [Code]
Z. Li, et al., Learning from Sample Stability for Deep Clustering, in Proc. International Conference on Machine Learning (ICML), 2025 [Code]
X. Zhang, et al., Generation Performance of Ensember Clustering: from Theory to Algorithm, in Proc. International Conference on Machine Learning (ICML), 2025 [Code]
Y. Yao, et al., RigGS: Rigging of 3D Gaussians for Modeling Articulated Objects in Videos, in Proc. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Project Page]
K. Liu, et al., Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation, in Proc. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Project Page]
J. Hu, et al., A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions, in Proc. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Project Page]
M. You, et al., NVS-Solver: Video Diffusion Model as Zero-shot Novel View Synthesizer, in Proc. International Conference on Learning Representations (ICLR), 2025 [Project Page]
Q. Liu, J. Hou, et al., MoDGS: Dynamic Gaussian Splatting from Causally-captured Monocular Videos, in Proc. International Conference on Learning Representations (ICLR), 2025 [Project Page]
Y. Jia, J. Cheng, H. Liu, J. Hou, Towards Calibrated Deep Clustering Network, in Proc. International Conference on Learning Representations (ICLR), 2025 [Code]
S. Ren, J. Hou, Shape as Line Segments: Accurate and Flexible Implicit Surface Representation, in Proc. International Conference on Learning Representations (ICLR), 2025 [Code]
J. Lu, Z. Zhu, J. Hou, ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models, in Proc. International Conference on Learning Representations (ICLR), 2025 [Code]
S. Wu, Z. Zhu, J. Hou, et al., Future Motion Estimation via Event Sequence Diffusion, in Proc. Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024 [Code]
K. Liu, Z. Zhu, C. Li, H. Liu, H. Zeng, J. Hou, Pref-Paint: Aligning Image Inpainting Diffusion Model with Human Preference, in Proc. Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024 [Project Page]
Y. Zhang and J. Hou, Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models, in Proc. Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024 [Code]
Q. Zhang, J. Hou, et al., Flatten Anything: Unsupervised Neural Surface Parameterization, in Proc. Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024 [Code]
Y. Yao, S. Ren, J. Hou, et al. DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction, in Proc. European Conference on Computer Vision (ECCV), 2024 [Project Page]
X. Lyu, H. Liu, J. Hou, RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural Rendering, in Proc. ACM International Conference on Multimedia (MM), 2024. [Code]
J. Jiang, Y. Jia, H. Liu, J. Hou, FairMatch: Promoting Partial Lable Learning by Unlabeled Samples, in Proc. the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 [Code]
Fuchao Yang, Y. Jia, H. Liu, Y. Dong, J. Hou, Noisy Label Removal for Partial Multi-label Learning, in Proc. the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 [Code]
Z. Chen, Z. Zhu, Y. Zhang, J. Hou, et al., Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens, in Proc. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [Code]
J. Hou, Z. Zhu, J. Hou, et al., Global Structure-aware Diffusion Process for Low-light Image Enhancement, in Proc. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. [Project page]
Q. Zhang, J. Hou, et al., NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries, in Proc. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. [Code]
Y. Zhang, Q. Zhang, J. Hou, et al, Unleash the Potential of Image Branch for Cross-modal 3D Object Detection, in Proc. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. [Code]
S. Ren, J. Hou, et al., GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation, in Proc. International Conference on Computer Vision (ICCV), 2023, pp. 14214 - 14224. [Project page]
Z. Zhu, J. Hou, and D. Wu, Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers, in Proc. International Conference on Computer Vision (ICCV), 2023, pp. 22045 - 22055. [Code]
Z. Zhou, S. Hu, R. Zhao, Q. Wang, Y. Zhang, J. Hou, and H. Jin, Downstream-agnostic Adversarial Examples, in Proc. International Conference on Computer Vision (ICCV), 2023, pp. 4345 - 4355. [Code]
S. Hu, W. Liu, M. Li, Y. Zhang, X. Liu, X. Wang, Y. Zhang, and J. Hou, PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness, in Proc. ACM International Conference on Multimedia (ACM MM), 2023, pp. 666-675. [Code] (Oral presentation)
Z. Zhu, J. Hou, and X. Lyu, Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds, in Proc. Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. [Code]
S. Hu, J. Zhang, W. Liu, J. Hou, et al, PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples, in Proc. AAAI Conference on Artificial Intelligence (AAAI), 2023. pp. 872 - 880.
Y. Tang, Y. Qian, Q. Zhang, Y. Zeng, J. Hou, WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation, in Proc. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 6387-6395. [Code]
Y. Zeng, Y. Qian, Q. Zhang, J. Hou, et al. IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment, in Proc. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 6328-6337. [Code]
H. Fang, J. Wu, L. Li, J. Hou, et al., AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data, in Proc. ACM International Conference on Multimedia (ACM MM), 2022, pp. 1427-1435. [Code]
M. Guo*, J. Jin*, H. Liu, and J. Hou, Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines, IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 2450-2459. (*joint 1st authors) [Code]
Z. Zhu, H. Liu, J. Hou, et al. Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild, IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 2279-2288. [Code]
W. Feng, J. Zhang, H. Cai, H. Xu, J. Hou, and H. Bao, Recurrent Multi-view Alignment Network for Unsupervised Surface Registration, in Proc. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 10297-10307. [Code]
Y. Zeng, Y. Qian, Z. Zhu, J. Hou, et al., CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds, in Proc. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 6052-6061 [Code]
X. Lyu, Z. Zhu, M. Guo, J. Jin, J. Hou, and H. Zeng, Learning Spatial-angular Fusion for Compressive Light Field Imaging in a Cycle-consistent Framework, in Proc. ACM International Conference on Multimedia (ACM MM), 2021, pp. 4613-4621. [Code] (Oral Presentation)
Z. Peng, H. Liu, Y. Jia, and J. Hou, Attention-driven Graph Clustering Network, in Proc. ACM International Conference on Multimedia (ACM MM), 2021, pp. 935-943. [Code]
Y. Jia, H. Liu, J. Hou, and Q. Zhang, Clustering Ensemble Meets Low-rank Tensor Approximation, in Proc. AAAI Conference on Artificial Intelligence (AAAI), 2021, pp. 7970-7978. [Code]
Q. Zhang, R. Cong, J. Hou, et al., CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection, in Proc. Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020. [Code]
J. Jin, J. Hou, et al., Light Field Super-resolution via Attention-guided Fusion of Hybrid Lenses, in Proc. ACM International Conference on Multimedia (ACM MM), 2020, pp. 193-201. (Oral presentation) [Code]
Y. Qian, J. Hou, et al., PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling, in Proc. European Conference on Computer Vision (ECCV), 2020, pp. 752-769. [Code] [Supplementary material]
M. Guo, J. Hou, et al., Deep Spatial-Angular Regularization for Compressive Light Field Reconstruction over Coded Apertures, in Proc. European Conference on Computer Vision (ECCV), 2020, pp. 278-294. (Oral presentation, 2%) [Code] [Supplementary material]
J. Jin, J. Hou, et al., Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization, in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 2260-2269. [Code]
C. Guo, C. Li, J. Guo, C. Loy, J. Hou, et al., Zero-Reference Deep Curve Estimation for Low Light Image Enhancement, in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 1780-1789. [Code]
J. Jin, J. Hou, et al., Learning Light Field Angular Super-resolution via A Geometry-aware Network, in Proc. AAAI Conference on Artificial Intelligence (AAAI), 2020, pp. 11141-11148. (Oral presentation) [Code]
C. Guo, J. Jin, J. Hou, and J. Chen, Accurate Light Field Depth Estimation via an Occlusion-aware Network, in Proc. IEEE International Conference on Multimedia & Expo (IEEE ICME), 2020, pp. 1-6. (Oral presentation) [Code]
H. Liu, Y. Jia, J. Hou, and Q. Zhang, Imbalance-aware Pairwise Constraint Propagation, in Proc. ACM International Conference on Multimedia (ACM MM), 2019, pp. 1605-1613.
W. F. Yeung*, J. Hou*, et al., Fast Light Field Reconstruction with Deep Coarse-to-Fine Modeling of Spatial-Angular Clues, in Proc. European Conference on Computer Vision (ECCV), 2018, pp. 138-154. (*joint 1st author) [Code and Demo] [Code (Pytorch)]
J. Chen, C.-H. Tan, J. Hou, et al., Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework, in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 6284-6295. (Spotlight) [Dataset] [Code] [Demo]
J. Hou, et al., Sparse Representation for Colors of 3D Point Cloud via Virtually Adaptive Sampling, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP), 2017, pp. 2926-2930.

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