yifan zhang -澳门游戏娱乐场棋牌

期刊论文

l. shi, y. zhang, j. cheng and h. lu, “action recognition via pose-based graph convolutional networks with intermediate dense supervision,” pattern recognition (pr), vol. 121, col. 108170, 2022.

k. cheng, y. zhang, x. he, j. cheng and h. lu, "extremely lightweight skeleton-based action recognition with shiftgcn ," ieee transactions on image processing (t-ip) vol. 30, pp. 7333-7348, 2021.

y. zhang, l. shi, y. wu, k. cheng, j. cheng and h. lu, “gesture recognition based on deep deformable 3d convolutional neural networks,” pattern recognition (pr), vol. 107, 2020.

l. shi, y. zhang, j. cheng and h. lu, "skeleton-based action recognition with multi-stream adaptive graph convolutional networks," ieee transactions on image processing (t-ip) vol. 29, pp. 9532-9545, 2020.

c. cao, c. lan, y. zhang, w. zeng, h. lu and y. zhang, "skeleton-based action recognition with gated convolutional neural networks," ieee transactions on circuits systems and video technology (t-csvt), vol. 29, no. 11, pp. 3247-3257, 2019.

y. zhang, c. cao, j. cheng and h. lu, "egogesture: a new dataset and benchmark for egocentric hand gesture recognition," ieee transactions on multimedia (t-mm), vol. 20, no. 5, pp. 1038-1050, 2018. [pdf] [dataset]

c. cao, y. zhang, c. zhang and h. lu, "body joint guided 3-d deep convolutional descriptors for action recognition," ieee transactions on cybernetics(t-cyb), vol. 48, no. 3, pp. 1095-1108, 2018.

y. zhang，z. tang, b. wu, q. ji, and h. lu, “a coupled hidden conditional random field model for simultaneous face clustering and naming in videos,” ieee transactions on image processing (t-ip), vol. 25, no. 12, pp. 5780-5792, 2016.

y. zhang, y. zhang, e. swears, n. lario, z. wang and q. ji, “modeling temporal interactions with interval temporal bayesian networks for complex activity recognition,” ieee transactions on pattern analysis and machine intelligence (t-pami), vol. 35, no. 10, pp. 2468-2483, oct. 2013. [code]

y. zhang, c. xu, h. lu and y. huang, “character identification in feature-length films using global face-name matching,” ieee transactions on multimedia (t-mm), vol. 11, no. 7, pp. 1276-1288, 2009. []

c. xu, y. zhang, g. zhu, y. rui, h. lu and q. huang, “using web-cast text for semantic event detection in broadcast sports video,” ieee transactions on multimedia (t-mm), vol. 10, no. 7, pp. 1342-1355, nov. 2008.

会议论文

l. sun, y. zhang, k. cheng, j. cheng and h. lu, "menet: a memory-based network with dual-branch for efficient event stream processing," in proceedings of european conference on computer vision (eccv), 2022.

l. shi, y. zhang, j. cheng and h. lu, "adasgn: adapting joint number and model size for efficient skeleton-based action recognition," in proceedings of ieee international conference on computer vision (iccv), 2021.

k. cheng, y. zhang, x. he, w. chen, j. cheng and h. lu, "skeleton-based action recognition with shift graph convolutional network," in proceedings of ieee international conference on computer vision and pattern recognition (cvpr), seattle, us, 2020. (oral)

k. cheng, y. zhang, c. cao, l. shi, j. cheng and h. lu, “decoupling gcn with dropgraph module for skeleton-based action recognition,” in proceedings of european conference on computer vision (eccv), 2020.

l. shi, y. zhang, j. cheng and h. lu, "two-stream adaptive graph convolutional networks for skeleton-based action recognition," in proceedings of ieee international conference on computer vision and pattern recognition (cvpr), long beach, us, 2019.

l. shi, y. zhang, j. cheng and h. lu, "skeleton-based action recognition with directed graph neural networks," in proceedings of ieee international conference on computer vision and pattern recognition (cvpr), long beach, us, 2019.

peisong wang, qinghao hu, yifan zhang, chunjie zhang, yang liu, jian cheng: two-step quantization for low-bit neural networks. cvpr 2018: 4376-4384

qinghao hu, gang li, peisong wang, yifan zhang, jian cheng: training binary weight networks via semi-binary decomposition. eccv (13) 2018: 657-673

qinghao hu, jiaxiang wu, lu bai, yifan zhang, jian cheng: fast k-means for large scale clustering. cikm 2017: 2099-2102

c. cao, y. zhang, y. wu, h. lu and j. cheng, “egocentric gesture recognition using recurrent 3d convolutional neural networks with spatiotemporal transformer modules", in proceedings of ieee international conference on computer vision (iccv), venice, italy, 2017.

c. cao, y. zhang, c. zhang and h. lu, “action recognition with joints-pooled 3d deep convolutional descriptors”, in proceedings of international joint conferences on artificial intelligence (ijcai), 2016.

z. tang, y. zhang, z. li and h. lu, “face clustering in videos with proportion prior”, in proceedings of international joint conferences on artificial intelligence (ijcai), buenos aires, argentina, 2015 (oral).

c. cao, y. zhang and h. lu,“multi-modal learning for gesture recognition”, in proceedings of ieee international conference on multimedia and expo (icme), torino, italy, 2015.

c. cao, y. zhang and h. lu “spatio-temporal triangular-chain crf for activity recognition”, in proceedings of acm multimedia 2015: 1151-1154.

z. tang, y. zhang, s. qiu and h. lu, “video face naming using global sequence alignment,” in proceedings of ieee international conference on image processing (icip), paris, france, 2014.

y. zhang, q. ji and h. lu, “event detection in complex scene using interval temporal constraints,” in proceedings of ieee international conference on computer vision (iccv), pp. 3184-3191, sydney, australia, 2013.

b. wu, y. zhang, b. hu and q. ji, “constrained clustering and its application to face clustering in videos," in proceedings of ieee international conference on computer vision and pattern recognition (cvpr), portland, us, 2013.

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