Shoubhik Debnath

According to our database, Shoubhik Debnath authored at least 12 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders.

Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Exploring Long-Sequence Masked Autoencoders.

Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen

CoRR, 2022

2021

Self-Supervised Real-to-Sim Scene Generation.

Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RGB-D Local Implicit Function for Depth Completion of Transparent Objects.

Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning.

Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Marc T. Law

CoRR, 2020

Semi-Supervised StyleGAN for Disentanglement Learning.

Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Accelerating Goal-Directed Reinforcement Learning by Model Characterization.

Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times.

Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Reachability and Differential Based Heuristics for Solving Markov Decision Processes.

Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme

Proceedings of the Robotics Research, The 18th International Symposium, 2017

2014

Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data.

Shoubhik Debnath, Shiv Sankar Baishya, Rudolph Triebel, Varun Dutt, Daniel Cremers

Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

Extending cortical-basal inspired reinforcement learning model with success-failure experience.

Shoubhik Debnath, John Nassour

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Learning diverse motor patterns with a single multi-layered multi-pattern CPG for a humanoid robot.

Shoubhik Debnath, John Nassour, Gordon Cheng

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014