Shoubhik Debnath

21 papers A* 5A 2C 1Misc 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SAM 3: Segment Anything with Concepts. CoRR Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer
2024	A*	`conf`	PointInfinity: Resolution-Invariant Point Diffusion Models. CVPR Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu
2024	J	`jnl`	PointInfinity: Resolution-Invariant Point Diffusion Models. CoRR Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu
2023	A*	`conf`	ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CVPR Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie
2023	J	`jnl`	ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CoRR Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie
2022	J	`jnl`	Exploring Long-Sequence Masked Autoencoders. CoRR Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen
2021	A*	`conf`	RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CVPR Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
2021	J	`jnl`	RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CoRR Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
2021	A*	`conf`	Self-Supervised Real-to-Sim Scene Generation. ICCV Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law
2020	A*	`conf`	Semi-Supervised StyleGAN for Disentanglement Learning. ICML Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar
2020	J	`jnl`	Semi-Supervised StyleGAN for Disentanglement Learning. CoRR Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar
2020	J	`jnl`	Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning. CoRR Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Marc T. Law
2019	J	`jnl`	Accelerating Goal-Directed Reinforcement Learning by Model Characterization. CoRR Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu
2019	J	`jnl`	Reachability and Differential based Heuristics for Solving Markov Decision Processes. CoRR Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
2019	J	`jnl`	Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. CoRR Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
2018	A	`conf`	Accelerating Goal-Directed Reinforcement Learning by Model Characterization. IROS Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu
2018	A	`conf`	Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. IROS Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
2017	C	`conf`	Reachability and Differential Based Heuristics for Solving Markov Decision Processes. ISRR Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
2014	Misc	`conf`	Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data. KI Shoubhik Debnath, Shiv Sankar Baishya, Rudolph Triebel, Varun Dutt, Daniel Cremers
2014	—	`conf`	Extending cortical-basal inspired reinforcement learning model with success-failure experience. ICDL-EPIROB Shoubhik Debnath, John Nassour
2014	—	`conf`	Learning diverse motor patterns with a single multi-layered multi-pattern CPG for a humanoid robot. Humanoids Shoubhik Debnath, John Nassour, Gordon Cheng