举办方：电院

举办时间：2016年10月20日 10:00~12:00

举办地点：上海交通大学闵行校区 电信群楼3-100号会议室

单位名称：深圳市商汤科技有限公司

联系方式：

专业要求：不限

学历要求：博士、硕士、本科

宣讲会介绍：

与你“智”造未来——商汤科技2017校园招聘

学术讲座及校友分享会

商汤科技专注于计算机视觉和深度学习原创技术，我们成功聚集了当下华人中最出色，最有影响力的深度学习、计算机视觉科学家，以及来自于谷歌、百度、微软、联想等一批产业界的领军人物。在人工智能产业兴起的大背景下，商汤科技凭借在技术、人才、专利上超过十年的积累，迅速成为了人工智能行业领军企业。

应用性技术上，基于深度学习的人脸识别、文字识别、人体识别、车辆识别、物体识别、图像处理等技术在业界遥遥领先；业务上，商汤科技深耕金融、移动互联网、安防监控三大行业，与中国移动、银联、京东、拉卡拉、华为、小米、新浪微博、科大讯飞、东方网力、英伟达等各行业巨头深度合作，推动行业产品智能化升级。

时间：2016年10月20日（周四） 上午10:00

地点：上海交通大学闵行校区 电信群楼3号楼100号报告厅

Lecture topic：Understanding Deep Learning and Interpreting Neural Semantics

Abstract:

Deep learning has achieved great success in computer vision. Many people believe that the success is due to employing a huge number of parameters to fit big training data. In this talk, I will show that neuron responses of deep models have clear semantic interpretation, which is supported by our research on multiple fields of face recognition, object tracking, human pose estimation, and crowd video analysis. In particular, the responses of neurons in the top layers have sparseness and strong selectiveness object classes, attributes and identities.  Sparseness and selectiveness are strongly correlated. Such selectiveness is naturally obtained through large scale training without adding extra regularization during the training process. By understanding neural semantics, we are inspired to develop new network architectures and training strategies and they effectively improve a broad range of applications in face recognition, face detection, compressing neural networks, object tracking, learned structured feature representation in human pose estimation, and effectively learning dynamic feature representations of different semantic units in video understanding.

Speaker：

Xiaogang Wang received his Bachelor degree in Electronic Engineering and Information Science from the Special Class of Gifted Young at the University of Science and Technology of China in 2001, M. Phil. degree in Information Engineering from the Chinese University of Hong Kong in 2004, and PhD degree in Computer Science from Massachusetts Institute of Technology in 2009. He is an associate professor in the Department of Electronic Engineering at the Chinese University of Hong Kong since August 2009. He received PAMI Young Research Award Honorable Mention in 2016, the Outstanding Young Researcher in Automatic Human Behaviour Analysis Award in 2011, Hong Kong RGC Early Career Award in 2012, and Young Researcher Award of the Chinese University of Hong Kong. He is the associate editor of the Image and Visual Computing Journal, Computer Vision and Image Understanding, IEEE Transactions on Circuit Systems and Video Technology. He was the area chair of ICCV 2011, ICCV 2015, ECCV 2014, ECCV 2016, ACCV 2014, and ACCV 2015. His research interests include computer vision, deep learning, crowd video surveillance, object detection, and face recognition.

本次与王晓刚博士一同来到上交分享的嘉宾还有：

商汤科技 CEO 徐立

商汤科技 CHRO陈康

商汤科技 主任研究员 李诚

八大门类 虚位以待

·         视觉算法研究（计算机视觉研究员、视觉算法开发及优化工程师/实习生）

·         分布式/并行计算（MPI/RDMA优化研究员、分布式存储系统工程师、GPU优化研究员、FPGA开发工程师、X86/ARM 代码优化工程师、高性能计算软件助理架构师）

·         工程研发（计算机视觉软件开发工程师/实习生、 Web前端开发工程师、系统开发工程师、iOS开发工程师、Android开发工程师、数据挖掘工程师、测试工程师、技术支持）

·         运维（运维开发工程师）

·         市场商务（市场活动策划）

·         产品（产品经理、产品推广）

·         设计（设计师）

·         职能（行政助理、高校关系/政府关系专员、人力资源助理）

工作地点：香港、北京、深圳。

应聘资格：专业不限。2017届及2018届之后毕业生均可，提供正式及实习生岗位任君挑选。

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