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associate professor jun wan

distinguished guest associate professor jun wan

school of computer science and engineering - faculty of innovation engineering

 

office: a305b

tel.: 

e-mail: 

academic qualification:
  • ph.d. in signal and information processing, beijing jiaotong university
  • b.s. school of geophysics and geoinformation systems, china university of geosciences (beijing)
research area
  • computer vision
  • machine learning
  • face analysis
  • gesture and sign language recognition
working experience
  • 2018-present, associate professor, national laboratory of pattern recognition, institute of automation, chinese academy of sciences, china
  • 2015-2018, assistant professor, national laboratory of pattern recognition, institute of automation, chinese academy of sciences, china

academic publication (selected)

  • jun wan, guodong guo, stan z li, "explore efficient local features from rgb-d data for one shot learning gesture recognition", ieee transactions on pattern analysis and machine intelligence (tpami), vol. 38, no. 8, pp. 1626-1639, 2016.
  • zichang tan, jun wan*, zhen lei, ruicong zhi, guodong guo, stan z. li, "efficient group-n encoding and decoding for facial age estimation", ieee transactions on pattern analysis and machine intelligence (tpami), vol 40, no. 11, 2018
  • zitong yu, jun wan*, yunxiao qin, xiaobai li, stan z. li, guoying zhao*, "nas-fas: static-dynamic central difference network search for face anti-spoofing", ieee transactions on pattern analysis and machine intelligence (tpami), 2021 (accepted).
  • jun wan, vassilis athitsos, pat jangyodsuk, hugo jair escalante, qiuqi ruan, and isabelle guyon "csmmi: class-specific maximization of mutual information for action and gesture recognition", ieee transactions on image processing (tip), vol 23(7), pp.3152-3165, 2014.
  • zichang tan, yang yang, jun wan*, hanyuan huang, guodong guo and stan z. li, "attention based pedestrian attribute analysis", ieee transactions on image processing (tip), vol 28, no. 12, 6126-6140, 2019.
  • zitong yu, benjia zhou, jun wan*, pichao wang, haoyu chen, xin liu, stan z. li, guoying zhao, "searching multi-rate and multi-modal temporal enhanced networks for gesture recognition", ieee transactions on image processing (tip), 2021.
  • jun wan, qiuqi ruan, shuang deng and wei li "one-shot learning gesture recognition from rgb-d data using bag of features", journal of machine learning research (jmlr), pp. 2549-2582, vol 14, 2013.
  • yunan li, jun wan*, qiguang miao, sergio escalera, huijuan fang, huizhou chen, xiangda qi and guodong guo, "cr-net: a deep classification-regression network for multimodal apparent personality analysis", international journal of computer vision (ijcv), 2020.
  • yang yang, zichang tan, prayag tiwari, hari mohan pandey, jun wan*, zhen lei, guodong guo, stan z. li, "cascaded split-and-aggregate learning with feature recombination for pedestrian attribute recognition", international journal of computer vision (ijcv), 2021.
  • jun wan, chi lin, longyin wen, yunan li, qiguang miao, sergio escalera, gholamreza anbarjafari, isabelle guyon, guodong guo, stan z. li, "chalearn looking at people: isogd and congd large-scale rgb-d gesture recognition", ieee transactions on cybernetics (tcyb), 2020
  • jun wan*, zichang tan, zhen lei, guodong guo, stan z. li, "auxiliary demographic information assisted age estimation with cascaded structure", ieee transactions on cybernetics (tcyb), vol 48, no. 9, pp. 2531-2541, 2018.
  • ajian liu, zichang tan, jun wan*, yanyan liang, zhen lei, guodong guo, stan z. li, "face anti-spoofing via adversarial cross-modality translation", ieee transactions on information forensics & security (tifs), 2021.
  • shifeng zhang, ajian liu, jun wan*, yanyan liang, guodong guo, sergio escalera, hugo jair escalante and stan z. li, "casia-surf: a large-scale multi-modal benchmark for face anti-spoofing", ieee transactions on biometrics, behavior, and identity science (tbiom), 2020.
  • pichao wang, wanqing li, philip ogunbona, jun wan*, sergio escalera, "rgb-d-based human motion recognition with deep learning: a survey", computer vision and image understanding (cviu), vol 171, pp 118-139, 2018.
  • benjia zhou, yunan li, jun wan*, "regional attention with architecture-rebuilt 3d network for rgb-d gesture recognition", aaai, 2021.
  • zichang tan, yang yang, jun wan*, guodong guo, stan z. li, "relation-aware pedestrian attribute recognition with graph convolutional networks", aaai, 2020.
  • shifeng zhang, xiaobo wang, ajian liu, chenxu zhao, jun wan*, sergio escalera, hailin shi, zezheng wang, stan z. li, "a dataset and benchmark for large-scale multi-modal face anti-spoofing", cvpr, 2019.
  • pichao wang, wanqing li, jun wan*, philio ogunbona, xinwang liu, "cooperative training of deep aggregation networks for rgb-d action recognition", aaai, pp. 7404-7411, 2018
books
  • jun wan, guodong guo, sergio escalera, hugo jair escalante, stan z. li (editors), multi-modal face presentation attack detection, synthesis lectures on computer vision, morgan & claypool publishers, 2020.
professional society membership
  • senior member , institute of electrical and electronics engineers (ieee).
  • director, chalearn

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