Asim Kadav

All Publications (Home):

  • *Intern under my supervision. Work done at NEC Labs.

2022

  • COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality.
    Honglu Zhou, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf.
    In ECCV 2022. PDF.
  • Self-supervised Video Representation Learning with Cascade Positive Retrieval. Cheng-En Wu, Farley Lai, Asim Kadav.
    In CVPR 2022, Workshop on Learning with Limited Labelled Data for Image and Video Understanding, 2022. PDF.Code.

2021

  • Learning Higher-order Object Interactions for Keypoint-based Video Understanding.
    Yi Huang, Asim Kadav, Farley Lai, Deep Patel, Hans Peter Graf.
    In ICCV 2021, Structured Video Understanding Workshop, 2021. PDF.Talk.
  • Dual Projection Generative Adversarial Networks for Conditional Image Generation.
    Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, and Dimitris Metaxas.
    In ICCV 2021. PDF.
  • Hopper: Multi-hop Transformer for Spatiotemporal Reasoning.
    Honglu Zhou*, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf.
    In ICLR 2021. PDF. Poster.

2020

  • S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation.
    Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf.
    In CVPR 2020.

2019

  • Contextual Grounding of Natural Language Entities in Images Farley Lai, Ning Xie*, Derek Doran, Asim Kadav. In NeurIPS Workshop on Visually-Grounded Interaction and Language, 2019 (ViGIL’19). PDF.Dataset.
  • Tripping Through Time: Efficient Localization of Activities in Videos. (Spotlight)
    Meera Hahn*, Asim Kadav, James M. Rehg, Hans Peter Graf.
    In CVPR Workship on Language and Vision, 2019. PDF.

2018

  • Visual Entailment Task for Visually-Grounded Language Learning. Ning Xie, Farley Lai, Derek Doran, Asim Kadav. In NeurIPS Workshop on Visually-Grounded Interaction and Language, 2018 (ViGIL’18). PDF.Dataset.
  • Teaching Syntax using Adverserial Distraction. Juho Kim, Christopher Malon, and Asim Kadav. In FEVER-EMNLP, 2018. PDF.
  • Chih-Yao Ma*, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, and Hans Peter Graf. Attend and Interact: Higher-Order Object Interactions for Video Understanding. In CVPR, 2018. PDF. Video
  • Adaptive Memory Networks. Daniel Li, Asim Kadav. ICLR '18 (Workshop Track). PDF.
  • DeepConfig: Automating Data Center Network Topologies Management with Machine Learning. Christopher Streiffer, Huan Chen, Theophilus Benson, Asim Kadav. SIGCOMM Net AI Workshop, 2018. PDF.

2017

  • Grounded Object and Interactions for Video Captioning.
    Chih-Yao Ma*, Asim Kadav, Iain Melvin, Zsolt Kira, Ragib Hasan, Hans Peter Graf. In NIPS Workshop: ViGIL, 2017.
  • Pruning Filters for Efficient ConvNets.
    Hao Li*, Asim Kadav, Igor Durdanovic, Hans Peter Graf. In ICLR'17. PDF Reviews (Also, appeared in NIPS Workshop EMDNN 2016)

2016

  • ASAP:Asynchronous Approximate Data-Parallel Computation.
    Asim Kadav and Erik Kruus. arXiv Preprint. PDF
  • A Context-Aware Attention Network for Interactive Question Answering.
    Huayu Li*, Martin Renqiang Min, Yong Ge, and Asim Kadav. arXiv Preprint. PDF
  • Privacy preserving collaboration in Bring Your Own Apps.
    Sangmin Lee, Deepak Goel, Edmund L. Wong, Asim Kadav, Mike Dahlin. In Symposium on Cloud Computing (SOCC '16). PDF

2015

  • MALT: Distributed Data-Parallelism for existing ML applications.
    Hao Li*, Asim Kadav, Erik Kruus.
    NIPS LearningSys Workshop (NIPS LearningSys '15) Montreal, Canada, December 2015. PDF
  • Random Walk Distributed Dual Averaging Method For Decentralized Consensus Optimization. Cun Mu*, Asim Kadav, Erik Kruus, Donald Goldfarb, and Martin Renqiang Min. NIPS Optimization Workshop (NIPS OPT'15) Montreal, Canada, December 2015. PDF
  • Revisiting Hash Table Design for Phase Change Memory.
    Biplob Debnath, Alireza Haghdoost, Asim Kadav,
    Mohammed G. Khatib, Cristian Ungureanu. (alphabetical) Interactions of NVM/Flash with Operating Systems and Workloads, (INFLOW '15) Monterey, CA, October 2015. PDF Bibtex Best paper award!
  • MALT: Distributed Data-Parallelism for existing ML applications.
    Hao Li*, Asim Kadav, Erik Kruus, Cristian Ungureanu. ACM European Conference on Computer Systems, (Eurosys '15)
    Bordeaux, France, April 2015. PDF Bibtex

2014

  • Blizzard: Fast, Cloud-scale Block Storage for Cloud-oblivious Applications.
    James Mickens, Ed Nightingale, Jeremy Elson, Bin Fan, Asim Kadav, Vijay Chidambaram, Osama Khan, Krishna Nareddy, and Darren Gehring. Network Systems Design and Implementation (NSDI '14), April 2014. PDF Bibtex

2013

2012

2010

2009

2008

  • Live Migration of Direct-Access Devices. Asim Kadav, Michael M. Swift. Workshop on I/O Virtualization (WIOV '08) colocated with (OSDI '08) December 2008, San Diego, CA. PDF Talk
    Forwarded as one of the top papers to ACM SIGOPS Operating System Review.

Others

  • Setting up a multicluster environment using General Parallel File System. Asim Kadav IBM Developer Works Article May, 2007. Link
  • System and Method for Clock Aware Generation of Speed Call Lists for Cell Phones Asim Kadav, IBM Disclosure at ip.com, Nov. 2006. Link