Shoubhik Debnath

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Markov Decision Process

Reinforcement Learning

Top Venues

Publications

Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu
PointInfinity: Resolution-Invariant Point Diffusion Models. CoRR (2024)
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CoRR (2023)
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CVPR (2023)
Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen
Exploring Long-Sequence Masked Autoencoders. CoRR (2022)
Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law
Self-Supervised Real-to-Sim Scene Generation. ICCV (2021)
Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CoRR (2021)
Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CVPR (2021)
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar
Semi-Supervised StyleGAN for Disentanglement Learning. ICML (2020)
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar
Semi-Supervised StyleGAN for Disentanglement Learning. CoRR (2020)
Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Marc T. Law
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning. CoRR (2020)
Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. CoRR (2019)
Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
Reachability and Differential based Heuristics for Solving Markov Decision Processes. CoRR (2019)
Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. CoRR (2019)
Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. IROS (2018)
Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. IROS (2018)
Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
Reachability and Differential Based Heuristics for Solving Markov Decision Processes. ISRR (2017)
Shoubhik Debnath, Shiv Sankar Baishya, Rudolph Triebel, Varun Dutt, Daniel Cremers
Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data. KI (2014)
Shoubhik Debnath, John Nassour
Extending cortical-basal inspired reinforcement learning model with success-failure experience. ICDL-EPIROB (2014)
Shoubhik Debnath, John Nassour, Gordon Cheng
Learning diverse motor patterns with a single multi-layered multi-pattern CPG for a humanoid robot. Humanoids (2014)