Nitesh Bharadwaj Gundavarapu

4 papers · 2021–2024 · 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 · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) ICLR (1) ICML (1)

Top co-authors

Ming-Hsuan Yang (2) Boqing Gong (2) David A Ross (2) Hartwig Adam (1) Luke Friedman (1) Yizhuo Li (1) Rui Qian (1) Kshitij Gupta (1) Irfan Essa (1) Nan Rosemary Ke (1)

Research topics

Artificial Intelligence (4) Machine Learning (3) Learning Paradigms (3) Core AI (2) Learning Types · Machine Learning (2) Computer Vision (1) Deep Learning (1) Natural Language Processing (1) Analysis (1) Architectures (1) Core Methods (1) Learning Types · Deep Learning (1) Resources & Methods (1)

Keywords

representation learning (1) sample efficiency (1) image generation (1) transfer learning (1) video generation (1) self-supervised learning (1) test-time adaptation (1) human pose estimation (1) pretraining (1) sequence learning (1) recurrent neural network (1) discrete token (1) visual tokenizer (1) temporal compression (1) model personalization (1) video encoder (1) transformer model (1) masked autoencoding (1) state of the art (1) latent bottleneck (1)

Papers

Language Model Beats Diffusion - Tokenizer is key to visual generation ICLR 2024 VideoPrism: A Foundational Visual Encoder for Video Understanding ICML 2024 Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning NeurIPS 2022 Test-Time Personalization with a Transformer for Human Pose Estimation NeurIPS 2021