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The C3SR hosted its inaugural Open House Event at ECE Building’s Lobby on Sept 28 from 11 - 2 PM. C3SR students prepared more than 18 posters on a wide range of AI research topics currently going on at the center. We also had a live demo on deep neuron network based object detection running on an FPGA platform. The event was a huge success with many students and faculty stopped by at the posters, learned about the center’s AI research, and discussed potential collaborations and engagement with the center.

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C3SR Co-directors Prof. Wen-mei Hwu and Dr. Jinjun Xiong were invited to speak about C3SR research at the inaugural Illinois Ignite event on September 27, 2018 in Chicago, IL. The talk has generated a lot of interests from audiences consisting of well-known VCs, prominent researchers from universities in Illinois, and innovators and entrepreneurs. It was a great showcase of C3SR’s broad and impactful research porforlio.

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Register link: https://forms.illinois.edu/sec/6721376. Do you want to check out the latest AI technologies? Please come to visit the IBM-ILLINOIS Center for Cognitive Computing Systems Research (C3SR) Open House on Friday, September 28, 2018 from 11 - 2 PM at the ECE Building Lobby. We will showcase many COOLEST AI research, systems, and demos students and faculty at C3SR are pursuing. Come to listen to the talk on “Game Changing AI and Block Chain Systems at C3SR” in Room 3002 at ECE Building.

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Congratulations to the C3SR iSmart2 team winning the Third Place in the 2018 DAC System Design Contest at the Design Automation Conference (DAC) in San Francisco.

The C3SR winning team members are Cong Hao, Yuhong Li, Sitao Huang, Xiaofan Zhang, Tianqi Gao, Jinjun Xiong (IBM Research), Kyle Rupnow (Inspirit IoT), Huafeng Yu (Boeing), Wen-mei Hwu, Deming Chen.

For details, please check out the following IBM blog post.

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The C3SR team won the Honorable Mention in the IEEE HPEC GraphChallenge at the IEEE HPEC (High Performance Extreme Computing) conference.

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Publications

More Publications

2018 International Conference On Computer Aided Design, 2018

The 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

Recent region-based object detectors are usually built with separate classification and localization branches on top of shared feature extraction networks. In this paper, we analyze failure cases of state-of-the-art detectors and observe that most hard false positives result from classification instead of localization. We conjecture that: (1) Shared feature representation is not optimal due to the mismatched goals of feature learning for classification and localization; (2) multi-task learning helps, yet optimization of the multi-task loss may result in sub-optimal for individual tasks; (3) large receptive field for different scales leads to redundant context information for small objects.We demonstrate the potential of detector classification power by a simple, effective, and widely-applicable Decoupled Classification Refinement (DCR) network. DCR samples hard false positives from the base classifier in Faster RCNN and trains a RCNN-styled strong classifier. Experiments show new state-of-the-art results on PASCAL VOC and COCO without any bells and whistles.
European Conference on Computer Vision, 2018

European Conference on Computer Vision, 2018

European Conference on Computer Vision, 2018

28th International Conference on Field-Programmable Logic and Applications, 2018

Frontiers in ICT, 2018

The 56th Annual Meeting of the Association for Computational Linguistics, 2018

The 56th Annual Meeting of the Association for Computational Linguistics, 2018

The 56th Annual Meeting of the Association for Computational Linguistics, 2018

Invited Talks

Cloud Tools and Libraries for Exploriting Heterogeneous Cognitive Computing Systems
Wed, Sep 27, 2017
Architecture and Software for Emerging Low-Power Systems
Mon, Jul 24, 2017
Crowdsensing, Crowdsourcing, and Creativity
Thu, Jun 1, 2017
Cognitive Computing on Heterogeneous Hardware Systems for the AI Revolution
Sat, Jul 8, 2017
Innovative Applications and Technology Pivots – A Perfect Storm in Computing
Sat, Feb 11, 2017
Best Paper Award Nomination, "Application-Transparent Near-Memory Processing Architecture with Memory Channel Network"
Sat, Oct 20, 2018
The C3SR team was one of the Finalists for the 2018 Champions at the 2018 IEEE GraphChallenge and will present their work at the 2018 IEEE HPEC (High Performance Extreme Computing) conference
Tue, Sep 25, 2018
The C3SR team won the Student Innovation Award at the 2018 IEEE GraphChallenge and will present their work at the 2018 IEEE HPEC (High Performance Extreme Computing) conference
Tue, Sep 25, 2018
The C3SR team won the 3rd place for the Nvidia AI City Challenge for traffic flow estimation at 2018 CVPR workshop on NVIDIA AI CITY CHALLENGE
Mon, Jun 18, 2018
The C3SR team won the 1st place for the Nvidia AI City Challenge for traffic camera object detection and classification
Wed, Aug 9, 2017