一年一度的
奖学金评选又进入了尾声
我
中山大学HCP人机物智能融合实验室
这样一个优秀的实验室
怎么可能缺席这场激烈的评选呢
大家再来看看我们实验室今年的战绩吧
我们一共有3位同学喜提了国家奖学金
他们分别是
谢圆 硕士三年级 国家奖学金
发表论文
●“Flow Guided Recurrent Neural Encoder for Video Salient Object Detections”,Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, and Liang Lin, Proc. Of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
●“Weakly Supervised Salient Object Detection Using Image Labels”, Guanbin Li*, Yuan Xie, Liang Lin, AAAI Conference on Artificial Intelligence(AAAI), 2018 (Oral Presentation
● “Instance-Level Salient Object Segmentation”, Guanbin Li, Yuan Xie, Liang Lin, and Yizhou Yu, Proc. Of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
龚科 硕士三年级 国家奖学金
发表论文
●“Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark”, Xiaodan Liang, Ke Gong, Xiaohui Shen, and Liang Lin*, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2018.2820063, 2018.
●“Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing”, Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, and Liang Lin,Proc. Of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
● “Adaptive Temporal Encoding Network for Video Instance-level Human Parsing” Qixian Zhou, Xiaodan Liang, Ke Gong, Liang Lin. Proc. of ACM International Conference on Multimedia (ACM MM) 2018
●“Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis” Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin.Neural Information Processing Systems (NIPS), 2018.
● “Instance-level Human Parsing via Part Grouping Network” Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin.European Conference on Computer Vision (ECCV), 2018, (Oral).
●“End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis” Lin Xu*, Qixian Zhou*, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin. AAAI Conference on Artificial Intelligence(AAAI), 2019
周启贤 硕士二年级 国家奖学金
发表论文
● “Adaptive Temporal Encoding Network for Video Instance-level Human Parsing” Qixian Zhou, Xiaodan Liang, Ke Gong, Liang Lin. Proc. of ACM International Conference on Multimedia (ACM MM) 2018.
● "End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis" Lin Xu*, Qixian Zhou*, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin. AAAI Conference on Artificial Intelligence(AAAI), 2019.
小编特意去采访了三位大佬
“获得研究生国家奖学金是一种怎样的体验?”
他们异口同声的说:
“灰常感谢HCP的培养!!!”
再一次为我们获奖的同学鼓掌!
没有拿到奖学金的同学当然也不用气馁鸭
一份耕耘一分收获
只要你努力
你也可以哟~
中山大学HCP人机物智能融合实验室
“中山大学HCP人机物智能融合实验室“依托于中山大学数据科学与计算机学院,围绕“人工智能原创和前沿技术”布局研究方向与课题,并与产业界开展广泛合作,输出大量原创技术及孵化多个创业团队。在感知计算与智能学习、机器人与嵌入式系统、人机协同技术、大数据挖掘与分析等领域开展研究,以“攀学术高峰、踏应用实地”为工作理念。实验室目前有教授1名,副教授2名,特聘研究员3名,工程师3名。
实验室承担或者已完成各级科研项目40余项,共获得科研经费超过数千万元。科研团队在顶级国际学术期刊与会议上发表论文200余篇,包括在IEEE/ACM Trans汇刊发表论文60余篇,在CVPR/ICCV/NIPS/Multimedia/AAAI/IJCAI等顶级会议发表论文80余篇,获得NPAR 2010 Best Paper Award, ACM SIG CHI Best Paper Award Honorable Mention, ICME 2014 Best Student Paper, The World’s FIRST 10K Best Paper Diamond Award by ICME 2017,Pattern Recognition Best Paper Award等奖励。