Shoubhik Debnath

5 papers · 2020–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

Venues

CVPR (3) ICCV (1) ICML (1)

Top co-authors

Zixuan Huang (1) Sanghyun Woo (1) Chao-Yuan Wu (1) Marc T. Law (1) Hammad Mazhar (1) Stan Birchfield (1) Justin Johnson (1) Tero Karras (1) Aayush Prakash (1) Gavriel State (1)

Research topics

Deep Learning (4) Machine Learning (4) Computer Vision (3) Models (3) Architectures (2) Generation (2) Learning Types (2) Artificial Intelligence (1) Robotics (1) Analysis (1) Application Areas (1) Capabilities (1) Core Methods (1) Domain-Specific (1) Learning Paradigms (1)

Keywords

self-supervised learning (2) representation learning (1) image classification (1) semantic segmentation (1) semi-supervised learning (1) image generation (1) domain adaptation (1) point cloud generation (1) point cloud (1) depth estimation (1) scene graph generation (1) sensor fusion (1) synthetic data generation (1) implicit neural representation (1) diffusion model (1) latent representation (1) convolutional neural network (1) generative adversarial network (1) controllable generation (1) classifier-free guidance (1)

Papers

PointInfinity: Resolution-Invariant Point Diffusion Models CVPR 2024 ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders CVPR 2023 RGB-D Local Implicit Function for Depth Completion of Transparent Objects CVPR 2021 Self-Supervised Real-to-Sim Scene Generation ICCV 2021 Semi-Supervised StyleGAN for Disentanglement Learning ICML 2020