Publications

Journal Papers/Book Chapter

• H. Liu, Y. Qian, Y. Liang, B. Zhang, Z. Liu, T. He, W.  Zhao, J. Lu, and B. Yu, “A High-Performance Accelerator for Real-Time Super-Resolution on Edge FPGAs,” ACM Trans. on Design Automation of Electronic Systems (TODAES), 2024.   (preprint) 

• K. Zhou, W. Li, N.-J. Jiang, X. Han,  and J. Lu, “From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm,”  IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), to appear 2023.  (preprint) (Project page)

• W. Zhao, Y. Bai, Q. Sun, W. Li, H. Zheng, N. Jiang, J. Lu, B. Yu, and M. D.-F. Wong, “A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023. (link)

• H. Liu, L. Li, J. Lu, and S. Tan, “Group Sparsity Mixture Model and Its Application on Image Denoising,” IEEE Trans. on Image Processing (TIP), vol. 31, pp. 5677-5690, 2022.  (link)

• K. Zhou, X. Han, N.-J. Jiang, K. Jia, and J. Lu, “HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation,”  IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 6, pp. 3000-3014, Jun. 2022.  (preprint) (Project page)

• K. R. Jerripothula, J. Cai, J. Lu, and J. Yuan, “Image Co-skeletonization via Co-segmentation,” IEEE Trans. on Image Processing (TIP), vol. 30, pp. 2784-2797, 2021.  (link)

• W.-Y. Lin, F. Wang, M. Cheng, S.-K. Yeung, P. Torr, M. N. Do, and J. Lu, “CODE: Coherence Based Decision Boundaries for Feature Correspondence,” IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 1, pp. 34-47, Jan. 2018. (preprint)

• J. Lu, Y. Li, H. Yang, D. Min, W. Eng, and M. N. Do, “PatchMatch Filter: Edge-Aware Filtering Meets Randomized Search for Correspondence Field Estimation,” IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 9, pp. 1866-1879, Sep. 2017. (preprint)

• R. Pahwa, J. Lu, N. Jiang, T.-T. Ng, and M. N. Do, “Locating 3D Object Proposals: A Depth-Based Online Approach,” IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), vol. 28, no. 3, pp. 626-639, Mar. 2018. (preprint)

• Y. Li, R. T. Tan, X. Guo, J. Lu, and M. S. Brown, "Single Image Rain Streak Separation Using Layer Priors," IEEE Trans. on Image Processing (TIP), vol. 26, no. 8, pp. 3874-3885, Aug. 2017. (PDF) 

• Y. Zhang, L. Cheng, J. Wu, J. Cai, M. N. Do, and J. Lu, "Action Recognition in Still Images with Minimum Annotation Efforts," IEEE Trans. on Image Processing (TIP), vol. 25, no. 11, pp. 5479-5490, Nov. 2016. (PDF) 

• H. Zhu, J. Lu, J. Cai, J. Zheng, S. Lu, and N. Thalmann, "Multiple Human Identification and Cosegmentation: A Human-Oriented CRF Approach with Poselets," IEEE Trans. on Multimedia (TMM), vol. 18, no. 8, pp. 1516-1530, Aug. 2016. (PDF) (Dataset)

• Y. Zhang, X.-S. Wei, J. Wu, J. Cai, J. Lu, V. Nguyen, and M. N. Do, "Weakly Supervised Fine-Grained Categorization with Part-Based Image Representation," IEEE Trans. Image Processing (TIP), vol. 25, no. 4, pp. 1713-1725, Apr. 2016. (PDF)

• K. Wang, L. Lin, J. Lu, C. Li, and K. Shi, "PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence," IEEE Trans. Image Processing (TIP), vol. 24, no. 10, pp. 3019-3033, Oct. 2015. (PDF)

• V. Nguyen, J. Lu, S. Zhao, D. Vu, H. Yang, D. Jones, and M. N. Do, “ITEM: Immersive Telepresence for Entertainment and Meetings - A Practical Approach,” IEEE Journal on Selected Topics in Signal Processing (JSTSP), Special Issue on Interactive Media Processing for Immersive Communication, vol. 9, no. 3, pp. 546-561, Apr. 2015. (PDF) (Featured in cover page)

• D. Min, S. Choi, J. Lu, B. Ham, K. Sohn, and M. N. Do, “Fast Global Image Smoothing Based on Weighted Least Squares,” IEEE Trans. on Image Processing (TIP), vol. 23, no. 12, pp. 5638-5653, Dec. 2014. (Project page) (Included in official OpenCV 3.1 release, Dec 2015)

• V. Nguyen, J. Lu, S. Zhao, D. Jones, and M. N. Do, “Tele-immersive Audio-Visual Communication Using Commodity Hardware,” IEEE Signal Processing Magazine (SPM), vol. 31, no. 6, pp. 118-136, Nov. 2014.

• D. Vu, B. Chidester, H. Yang, M. N. Do, and J. Lu, "Efficient Hybrid Tree-Based Stereo Matching with Applications to Post-Capture Image Refocusing," IEEE Trans. Image Processing (TIP), vol. 23, no. 8, pp. 3428-3442, Aug. 2014. (PDF)

• D. Min, J. Lu, and M. N. Do, "Joint Histogram Based Cost Aggregation for Stereo Matching," IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), vol. 35, no.10, pp. 2539-2545, Oct. 2013. (PDF)

• D. Min, J. Lu, and M. N. Do, "Depth Video Enhancement Based on Weighted Mode Filtering," IEEE Trans. Image Processing (TIP), vol. 21, no. 3, pp. 1176-1190, Mar. 2012. (PDF)

• K. Zhang, J. Lu, Q. Yang, G. Lafruit, R. Lauwereins, and Luc Van Gool, "Real-Time and Accurate Stereo: A Scalable Approach with Bitwise Fast Voting on CUDA," IEEE Trans. Circuits and System for Video Technology (TCSVT), vol. 21, no. 7, pp. 867-878, Jul. 2011.

• L. Zhang, K. Zhang, J. Lu, T.-S. Chang, and G. Lafruit, "Low-Complexity Stereo Matching and Viewpoint Interpolation in Embedded Consumer Applications," Book chapter in Depth Map and 3D Imaging Applications: Algorithms and Technologies, IGI Global, 2010.

• J. Lu, R. Sammy, G. Lafruit, and F. Catthoor, “Stream-centric stereo-matching and view synthesis: a high-speed approach on GPUs,” IEEE Trans. Circuits and System for Video Technology (TCSVT), Special Issue on Algorithm/Architecture Co-Exploration of Visual Computing, vol. 19, no. 11, pp. 1598-1611, Nov. 2009. (Nomination for IEEE Trans. on CSVT Best Paper Award 2010)

• K. Zhang, J. Lu, and G. Lafruit, “Cross-based local stereo matching using orthogonal integral images,” IEEE Trans. Circuits and System for Video Technology (TCSVT), vol. 19, no. 7, pp. 1073-1079, Jul. 2009. (#7 most cited in TCSVT based on Google Scholar Metrics in June 2014)

• S. Rogmans, J. Lu, P. Bekaert, and G. Lafruit, “Real-time stereo-based view synthesis algorithms: a unified framework and evaluation on commodity GPUs,” Elsevier Journal of Signal Processing: Image Communication (SPIC), Special Issue on Advances in Three-Dimensional Television and Video, vol. 24, no. 1-2, pp. 49-64, Jan. 2009. (Invited)

• J. Lu, H. Cai, J.-G. Lou, and J. Li, “An epipolar geometry-based fast disparity estimation algorithm for multiview image and video coding,” IEEE Trans. Circuits and System for Video Technology (TCSVT), vol. 17, no. 56, pp. 737-750, Jun. 2007.

 Conference Papers

• J. Chen, Y. Qin, L. Liu, J. Lu, and G. Li, “NeRF-HuGS: Improved NeRF in Non-static Scenes Using Heuristics-Guided Segmentation,”  in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Seattle, WA, Jun. 2024.  (Oral presentation, 3.3% out of 2719 accepted papers)  (Project page)

• W. Li, X. Lu, S. Qian, and J. Lu, “On Efficient Transformer-Based Image Pre-training for Low-Level Vision,”  in Proc. International Joint Conference on Artificial Intelligence (IJCAI) , Macao, S. A. R., Aug. 2023.  (PDF)

• K. Zhou, W. Li, Y. Wang, T. Hu, N. Jiang, X. Han, and J. Lu, “NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer,”  in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, Jun. 2023. (PDF) (Project page)

• K. Zhou, W. Li, L. Lu, X. Han, and J. Lu, “Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation,”  in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, Jun. 2023. (PDF)

• X. Xu, R. Wang, and J. Lu, “Low-light Image Enhancement via Structure Modeling and Guidance,”  in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, Jun. 2023.  (PDF)

• Y. Lou, Z. Ye, Y. You, N. Jiang, J. Lu, W. Wang, L. Ma, and C. Lu, “CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame,” AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, Feb. 2023.  (Oral presentation) (PDF) 

• Q. Liu, N. Jiang, J. Lu, M. Chen, R. Yi, and L. Ma, “ScatterNet: Point Cloud Learning via Scatters,”  in Proc. ACM Int. Conf. Multimedia (MM), Lisbon, Portugal, Oct. 2022.  (PDF) 

• K. Zhou, W. Li, L. Lu, X. Han, and J. Lu, “Revisiting Temporal Alignment for Video Restoration,”  in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Jun. 2022. (PDF) 

• L. Lu, R. Wu, H. Lin, J. Lu, and J. Jia, “Video Frame Interpolation with Transformer,”  in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Jun. 2022.  (PDF)

• W. Li, K. Zhou, L. Qi, L. Lu, and J. Lu, “Best-Buddy GANs for Highly Detailed Image Super-Resolution,” AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb. 2022.   (Oral presentation)  (PDF) (Slides) 

• J. Lin, H. Li, K. Chen, J. Lu, and K. Jia, “Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space,” Neural Information Processing Systems (NeurIPS), virtual, Dec. 2021. (PDF) 

• H. Liu, X. Liu, J. Lu, and S. Tan, “Self-Supervised Image Prior Learning with GMM from a Single Noisy Image,” in Proc. IEEE Int. Conf. Computer Vision (ICCV), Oct. 2021. (Oral presentation, A.R.= 3.4%)  (PDF) (Slides) 

• R. Wang, X. Xu, C.-W. Fu, J. Lu, B. Yu, and J. Jia, “Seeing Dynamic Scenes in the Dark: A High-Quality Video Dataset with Mechatronic Alignment,” in Proc. IEEE Int. Conf. Computer Vision (ICCV), Oct. 2021. (PDF) (Project page)

• H. Lin, R. Wu, S. Liu, J. Lu, and J. Jia, “Video Instance Segmentation with a Propose-Reduce Paradigm,” in Proc. IEEE Int. Conf. Computer Vision (ICCV), Oct. 2021. (PDF) 

• L. Lu, W. Li, X. Tao, J. Lu, and J. Jia, “MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-resolution,”  in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Nashville, TN, Jun. 2021.  (PDF) 

• J. Cai, N.-J. Jiang, X. Han, K. Jia, and J. Lu, “JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition,” Workshop on Applications of Computer Vision (WACV),  Waikoloa, Hawaii, Jan. 2021.  (PDF) 

• W. Li, K. Zhou, L. Qi, N. Jiang, J. Lu, and J. Jia, “LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond,” Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 2020. (PDF) (Supplementary) (Code) 

• W. Li, X. Tao, T. Guo, L. Qi, J. Lu, and J. Jia, “MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution,” European Conf. Computer Vision (ECCV), Glasgow, UK, Aug. 2020. (PDF)  (Code) 

• Y. Li, X. Yu, X. Han, N.-J. Jiang, K. Jia, and J. Lu, “A Deep Learning Based Interactive Sketching System for Fashion Images Design,” Pacific Graphics (PG),  Wellington, New Zealand, 2020.  (PDF) (Demo video)

• K. Zhou, X. Han, N.-J. Jiang, K. Jia, and J. Lu, “HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation,” in Proc. IEEE Int. Conf. Computer Vision (ICCV), Seoul, Korea, Oct. 2019. (State-of-the-art 3D pose estimation results over all standard benchmarks) (PDF)(Project page)

• K. Lin, N.-J. Jiang, L.-F. Cheong, J. Lu, and X. Xu, "Robust Video Background Identification by Dominant Rigid Motion Estimation," in Proc. Asian Conf. Computer Vision (ACCV), Perth, Australia, Dec. 2018. (PDF)

• K. Zhou, J. Cai, Y. Li, Y. Shi, X. Han, N.-J. Jiang, K. Jia, and J. Lu, "Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision," the 2018 ECCV PoseTrack Challenge Workshop, Munich, Germany, Sep, 2018. (PDF)

• Y. Shi, X. Han, N.-J. Jiang, K. Zhou, K. Jia, and J. Lu, "FBI-Pose: Towards Bridging the Gap between 2d images and 3d Human Poses Using Forward-or-Backward Information," arXiv preprint arXiv:1806.09241, Jun. 2018.

• K. Lin, N.-J. Jiang, S. Liu, L.-F. Cheong, M. N. Do, and J. Lu, "Direct Photometric Alignment by Mesh Deformation," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, Jul. 2017. (PDF)

• K. R. Jerripothula, J. Cai, J. Lu, and J. Yuan, "Object Co-skeletonization with Co-segmentation," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, Jul. 2017. (PDF) 

• C. Chen, J. Lu, M. N. Do, D.-K. Kwon, and D. Moore, “Accelerated Stereo Matching for Autonomous Vehicles Using An Upright Pinhole Camera Model,” Autonomous Vehicles and Machines Conference, at IS&T Electronic Imaging 2017,  Burlingame, CA, Jan. 2017.

• Y. Li, D. Min, M. N. Do, and J. Lu, “Fast Guided Global Interpolation for Depth and Motion,” European Conf. Computer Vision (ECCV), Amsterdam, The Netherlands, Oct. 2016. (Spotlight presentation) (Project page)

• W.-Y. Lin, S. Liu, N. Jiang, M. N. Do, P. Tan, and J. Lu, “RepMatch: Robust Feature Matching and Pose for Reconstructing Modern Cities,” European Conf. Computer Vision (ECCV), Amsterdam, The Netherlands, Oct. 2016. (PDF) (Supplementary)

• K. Lin, N. Jiang, L.-F. Cheong, M. N. Do, and J. Lu, “SEAGULL: Seam-Guided Local Alignment for Parallax-Tolerant Image Stitching,” European Conf. Computer Vision (ECCV), Amsterdam, The Netherlands, Oct. 2016. (PDF) (Supplementary)

• Y. Li, R. T. Tan, X. Guo, J. Lu, and M. S. Brown, "Rain Streak Removal Using Layer Priors," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, Jun. 2016. (PDF)

• Y. Li, D. Min, M. S. Brown, M. N. Do, and J. Lu, “SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs,” in Proc. IEEE Int. Conf. Computer Vision (ICCV), Chile, Dec. 2015. (Oral presentation, A.R.= 3.3%) (Project page)

• N.-J. Jiang, W.-Y. Lin, M. N. Do, and J. Lu, "Direct Structure Estimation for 3D Reconstruction," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Boston, MA, Jun. 2015. (PDF)

• W.-Y. Lin, M. Cheng, J. Lu, H. Yang, M. N. Do, and P. H. S. Torr, "Bilateral Functions for Global Motion Modeling,” in Proc. Eur. Conf. Computer Vision (ECCV), Zurich, Switzerland, Sep. 2014. (PDF)

• H. Zhu, J. Lu, J. Cai, J. Zheng, and N. Thalmann, "Poselet-Based Multiple Human Identification and Cosegmentation,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Paris, France, Oct. 2014. ("Top 10% Paper Award")

• H. Yang, W.-Y. Lin, and J. Lu, “Daisy Filter Flow: A Generalized Discrete Approach to Dense Correspondences,” in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, Jun. 2014. (PDF) (Project page)

• H. Zhu, J. Lu, J. Cai, J. Zheng, and N. Thalmann, “Multiple Foreground Recognition and Cosegmentation: An Object-Oriented CRF Model with Robust Higher-Order Potentials,” in Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs, Co, Mar. 2014. (PDF)

• W.-Y. Lin, M. Cheng, K. Zheng, J. Lu, and C. Nigel, “Robust Non-parametric Data Fitting for Correspondence Modeling,” in Proc. IEEE Int. Conf. Computer Vision (ICCV), Sydney, Australia, Dec. 2013. (PDF)

• D. Vu, B. Chidester, J. Lu, and M. N. Do, “Scribble2focus: An interactive photo refocusing system based on mobile stereo imaging,” in Proc. IEEE GlobalSIP 2013 Symposium on Mobile Imaging, Austin, Texas, Dec. 2013. (Invited)

• W. Eng, D. Min, V. Nguyen, J. Lu, and M. N. Do, “Gaze correction for 3D tele-immersive communication system,” in Proc. IEEE IVMSP Workshop on 3D Image/Video Technologies and Applications, Seoul, Korea, Jun. 2013. 

• J. Lu, H. Yang, D. Min, and M. N. Do, “PatchMatch Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation,” in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, Jun. 2013. (Oral presentation, A.R.= 3.2%) (PDF)

• K. Shi, K. Wang, J. Lu, and L. Lin, “PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors,” in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, Jun. 2013. (PDF)

• H. Yang, H. Sun, and J. Lu, “QuickToon: A real-time video stylization and sharing system on general processors,” in Proc. ACM Int. Conf. Multimedia (MM), Nara, Japan, Oct 2012 (Technical Demo Paper).

• V. Nguyen, J. Vu, H. Yang, J. Lu, and M. N. Do, “ITEM: Immersive telepresence for entertainment and meeting with commodity setup,” in Proc. ACM Int. Conf. Multimedia (MM), Nara, Japan, Oct 2012.

• J. Lu, K. Shi, D. Min, L. Lin, and M. N. Do, “Cross-based local multipoint filtering,” in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, Jun. 2012. (PDF)

• V. Nguyen, J. Lu, and M. N. Do, “Efficient video compression methods for a lightweight tele-immersive video chat system,”  in Proc. IEEE  Int. Sym. Circuits and Systems (ISCAS), Seoul, Korea, May 2012.

• D. Min, J. Lu, V. Nguyen, and M. N. Do, “Weighted mode filtering and its applications to depth video enhancement and coding,”  in Proc. IEEE  Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, Mar. 2012. (Invited)

• J. Lu, V. Nguyen, Z. Niu, B. Singh, Z. Luo, and M. N. Do, “CuteChat: A lightweight tele-immersive video chat system,” in Proc. ACM Int. Conf. Multimedia (MM), Scottsdale, Arizona, Nov 2011.

• D. Min, J. Lu, and M. N. Do, “A revisit to cost aggregation in stereo matching: How far can we reduce its computational redundancy?” in Proc. IEEE Int. Conf. Computer Vision (ICCV), Barcelona, Spain, Nov. 2011.  (Oral presentation, A. R. = 3.5%) (PDF)

• J. Lu, D. Min, R. S. Pahwa, and M. N. Do, “A revisit to MRF-based depth map super-resolution and enhancement,” in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech, May 2011, pp. 985-988.

• K. Zhang, J. Lu, G. Lafruit, R. Lauwereins, and Luc Van Gool, "A Cross-Based Filter for Fast Edge-Preserving Smoothing," in Proc. SPIE-IS&T Electronic Imaging, Real-Time Image and Video Processing, 2011.

• J. Lu and B. Wah, “Scheduling transmissions of real-time video coded frames in video conferencing applications over the Internet,” in Proc. IEEE ICME Workshop on Networking Issues in Multimedia Entertainment (NIME), Singapore, Jul. 2010, pp. 1695-1700.

• K. Zhang, J. Lu, G. Lafruit, R. Lawereins, and L. Van Gool, “Real-time accurate stereo with bitwise fast voting on CUDA,” in Proc. IEEE ICCV Workshop on Embedded Computer Vision (ICCVW), Kyoto, Japan, Oct. 2009.  (AIT Best Paper Award)

• K. Zhang, J. Lu, G. Lafruit, R. Lawereins, and L. Van Gool, “Robust stereo matching with fast normalized cross-correlation over shape-adaptive regions,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Cairo, Egypt, Nov. 2009, pp. 2357-2360.

• K. Zhang, J. Lu, G. Lafruit, R. Lawereins, and L. Van Gool, “Accurate and efficient stereo matching with robust piecewise voting,” in Proc. IEEE Int. Conf. Multimedia and Expo (ICME), New York, NY, Jun. 2009, pp. 93-96.

• J. Lu, K. Zhang, G. Lafruit, and F. Catthoor, “Real-time stereo matching: a local cross-based approach,” in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Taipei, Taiwan, Apr. 2009, pp. 733-736. (Student Travel Grant)

• J. Lu, Q. Yang, and G. Lafruit, “Interpolation error as a quality metric for stereo: robust or not?” in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Taipei, Taiwan, Apr. 2009, pp. 977-980.

• K. Zhang, J. Lu, and G. Lafruit, “Scalable stereo matching with locally adaptive polygon approximation,” in Proc. IEEE Int. Conf. Image Processing (ICIP), San Diego, CA, Oct 2008, pp. 313-316.

• S. Rogmans, J. Lu, and G. Lafruit, “A scalable end-to-end optimized real-time image-based rendering framework on graphics hardware,” in Proc. 3DTV Conference, Istanbul, Turkey, May 2008, pp. 129-132.

• J. Lu, G. Lafruit, and F. Catthoor, “Anisotropic local high-confidence voting for accurate stereo correspondence,” in Proc. SPIE-IS&T Electronic Imaging, Image Processing: Algorithms and Systems VII, vol. 6812, San Jose, CA, Jan. 2008.

• J. Lu, S. Rogmans, G. Lafruit, and F. Catthoor, “High-speed stream-centric dense stereo and view synthesis on graphics hardware,” in Proc. IEEE Int. Work. Multimedia Signal Processing (MMSP), Crete, Greece, Oct. 2007, pp. 243-246. (Student Paper Contest Runner Ups)

• J. Lu, G. Lafruit, and F. Catthoor, “Fast variable center-biased windowing for high-speed stereo on programmable graphics hardware,” in Proc. IEEE Int. Conf. Image Processing (ICIP), San Antonio, TX, Sep. 2007, pp. 568-571.

• J. Lu, S. Rogmans, G. Lafruit, and F. Catthoor, “Real-time stereo correspondence using a truncated separable Laplacian kernel approximation on graphics hardware,” in Proc. IEEE Int. Conf. Multimedia and Expo (ICME), Beijing, China, Jul. 2007, pp. 1946-1949.

• J. Lu, S. Rogmans, G. Lafruit, and F. Catthoor, “High-speed dense stereo via directional center-biased windows on graphics hardware,” in Proc. 3DTV Conference, Kos, Greece, May 2007.

• J. Lu, G. Lafruit, and F. Catthoor, “Fast reliable multi-scale motion region detection in video processing,” in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Honolulu, HI, Apr. 2007, pp. 689-692.

• J. Lu, G. Lafruit, and F. Catthoor, “Streaming-mode MB-based integral image techniques for fast multi-view video illumination compensation,” Pacific Rim Conf. Multimedia (PCM), LNCS, vol. 4261, Hangzhou, China, Nov. 2006, pp. 414-423.

• J. Lu, H. Cai, J.-G. Lou, and J. Li, “An effective epipolar geometry assisted motion estimation technique for multi-view image and video coding,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Atlanta, GA, Oct. 2006, pp. 1089-1092.

• K. Yu, J. Lu, J. Li, and S. Li, “Practical real-time video codec for mobile devices,” in Proc. IEEE Int. Conf. Multimedia and Expo (ICME), Baltimore, MD, Jul. 2003, pp. 509-512.

• K. Yu, J. Li, T. He, Y. Lin, J. Lu, and S. Li, “Microsoft Portrait: a real-time mobile video communication system,” in Proc. IEEE Int. Conf. Multimedia and Expo (ICME), Baltimore, MD, Jul. 2003, demonstration III-2.

Conference Tutorials

• J. Lu, D. Min, and M. N. Do, “Discontinuities-Preserving Image and Motion Coherence: Computational Models and Applications,”  Half-day tutorial in IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, Mar. 2016. (Tutorial site)

• D. Min, W.-Y. Lin, J. Lu, and M. N. Do, "Visual Correspondences: Taxonomy, Modern Approaches and Ubiquitous Applications," Half-day tutorial in  IEEE Int. Conf. Multimedia and Expo (ICME), Torino, Italy, Jun. 2015. (Tutorial site)

• J. Lu, D. Min, and M. N. Do, “Image Filtering 2.0: Efficient Edge-Aware Filtering and Their Applications,”  Half-day tutorial in IEEE Int. Conf. Image Processing (ICIP), Melbourne, Australia, Sep. 2013. (Tutorial site)

• B. Masschelein, J. Lu, and I. Moccagatta, “Recent developments in video compression standards: from scalable to multi-view video Coding,” Half-day tutorial in IEEE Int. Conf. Consumer Electronics (ICCE), Las Vegas, NV, Jan. 2007. (PDF)

Patents/Technology Disclosure (and 100+ newly granted invention patents)

• J. Lu and G. Wang, “A Method to Identify an Object and a System for Doing the Same,” Singapore patent 11201401806X, Sep. 2016. 

• J. Lu and Z. Niu, “Intelligent scribbles: mobile-based interactive image selection and its applications,” A*STAR Technology Disclosure, Sep. 2014.

• J. Lu, “A method and apparatus for real-time/on-line performing of multi view multimedia applications,” European patent EP 2143075B1, Jul. 2014.

• J. Lu and G. Wang, “A Method to Identify an Object and a System for Doing the Same,” US patent application 14/354,274, Apr. 2014. 

• J. Lu, “Method and apparatus for realtime/online performing of multi view multimedia applications,” US patent 8,538,159 B2, Sep. 2013.

• J. Lu, “System and method for motion detection and the use thereof in video coding,” US patent 8,532,339 B2, Sep. 2013. 

• H. Yang and J. Lu, “Depth sensor-based real-time video object cutout,” A*STAR Technology Disclosure, Jun. 2013.

• J. Lu, "QuickToon: Real-time video abstraction and enhancement on general processors," A*STAR Technology Disclosure, Apr. 2011.

• J. Lu, "REFOCUS: Robust and Efficient Foreground Object Cutout Using a Single Webcam," A*STAR Technology Disclosure, Mar. 2011.

• J. Lu, "A method and apparatus for real-time/on-line performing of multi view multimedia applications," International patent 134829, Nov. 2008.

• J. Lu, "System and method for motion detection and the use thereof in video coding," U.S. patent 0219573, Sep. 2008.