Kaustav Kundu

• I am a fourth year PhD student in the Department of Computer Science at University of Toronto. I am advised by Professor Raquel Urtasun and Professor Sanja Fidler.
• I completed my MS in Toyota Technological Insitute at Chicago (Sept '12 - Dec '13).
• I completed my undergraduate studies, B.Tech (Hons.) (July '08 - May '12), at IIIT Hyderabad, India, majoring in Computer Science and Engineering. I did my Honours project at Centre for Visual Information Technology (CVIT) lab, under the guidance of Professor P.J. Narayanan.

• My research interests lie broadly in the field of Computer Vision and Machine Learning. I am interested in 3D reasoning for scene understanding.

• 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
  Xiaozhi Chen*, Kaustav Kundu*, Yukun Zhu, Humin Ma, Sanja Fidler, Raquel Urtasun
  Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
  
  
• Annotating Object Instances with a Polygon-RNN
  Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
  IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2017
  [Oral Presentation - Best Paper Honorable Mention Award]
  
  
• Exploiting Semantic Information and Deep Matching for Optical Flow
  Min Bai*, Wenjie Luo*, Kaustav Kundu, Raquel Urtasun
  European Conference on Computer Vision (ECCV), 2016
  
  
• Monocular 3D Object Detection for Autonomous Driving
  Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Humin Ma, Sanja Fidler, Raquel Urtasun
  IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2016
  
  
• 3D Object Proposals for Accurate Object Class Detection
  Xiaozhi Chen*, Kaustav Kundu*, Yukun Zhu, Andrew Berneshawi, Humin Ma, Sanja Fidler, Raquel Urtasun
  Neural Information Processing Systems (NIPS), 2015
  
  
• Rent3D: Floor-Plan Priors for Monocular Layout Estimation
  Chenxi Liu*, Alexander Schwing*, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
  IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2015
  [Oral Presentation] [Featured in Two Minute Papers]
  
  
• Geometry Directed Browser For Personal Photographs
  Aditya Deshpande, Siddharth Choudhary, P J Narayanan, Krishna Kumar Singh, Kaustav Kundu, Aditya Singh, Apurva Kumar
  Indian Conference on Vision, Graphics and Image Processing (ICVGIP), 2012
  [Oral Presentation]
  
  

• 3D Object Detection in RGBD Images
• 3D Object Detection in RGB Images

• Computer Vision : Intro to Computer Vision, Visual Recognition with Text
• Machine Learning : Intro to Statistical Machine Learning, Probabilistic Graphical Models
• Optimization : Linear Programming, Convex Optimization
• Others : Mathematical Foundation, Mathematical Toolkit, Algorithms, Computational Linguistics

• Research Internships
  • Apple Inc. (June - September 2016)
  • Apple Inc. (May - August 2015)
• Teaching Assistant
  • Inference Algorithms and Machine Learning (Spring '17)
  • Intro to ML (Fall '16)
  • Probabilistic Graphical Models (Spring '16)
  • Neural Networks (Spring '15)
  • Intro to Image Understanding (Fall '14, Fall '15)
  • Mathematical Expression and Reasoning for Computer Science (Summer '14)
  • Intro to Visual Computing (Spring '14)

My resume is available here (Last modified in March 2013). For an updated version, please contact me at kkundu-at-cs-toronto-edu.