Chandrasekhar, Vijay

11 publications

ECCV 2022 RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar

ICLR 2020 MaskConvNet: Training Efficient ConvNets from Scratch via Budget-Constrained Filter Pruning Raden Mu'az Mun'im, Jie Lin, Vijay Chandrasekhar, Koichi Shinoda

ICLR 2019 Optimistic Mirror Descent in Saddle-Point Problems: Going the Extra (gradient) Mile Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras

ICLR 2019 The Unusual Effectiveness of Averaging in GAN Training Yasin, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar

IJCAI 2018 DehazeGAN: When Image Dehazing Meets Differential Programming Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim

IJCAI 2017 Object Detection Meets Knowledge Graphs Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar

CVPRW 2016 Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Giduthuri Sateesh Babu, Phyo Phyo San, Ngai-Man Cheung

CVPRW 2014 Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim

CVPRW 2010 Quantization Schemes for Low Bitrate Compressed Histogram of Gradients Descriptors Vijay Chandrasekhar, Yuriy A. Reznik, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod

CVPR 2010 Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod

CVPR 2009 CHoG: Compressed Histogram of Gradients a Low Bit-Rate Feature Descriptor Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod