Prahlad Vadakkepat

3 papers · 2021–2026 · 2 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

CVPR (2) AAAI (1)

Top co-authors

Tong Heng Lee (2) Haiyue Zhu (2) Cheng Xiang (1) Yuanchang Liang (1) David Kim Huat Chua (1) Wenxin Wang (1) Weng Khuen Ho (1) Jiahui Wang (1) Yu Cheng (1) Yiting Li (1)

Research topics

Deep Learning (3) Machine Learning (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Models (2) Artificial Intelligence (1) Computer Vision (1) Robotics (1) Analysis (1) Application Areas (1) Applications (1) Capabilities (1) Core AI (1)

Keywords

contrastive learning (1) adversarial learning (1) semi-supervised learning (1) few-shot learning (1) robotic manipulation (1) domain adaptation (1) object detection (1) unsupervised domain adaptation (1) false positive (1) multivariate time series (1) frequency analysis (1) few-shot object detection (1) vision-language-action model (1) hard example mining (1) large language model (1) classification refinement (1) distractor treatment (1) self-supervised dataset pruning (1) action chunking (1) distractor retreatment (1)

Papers

Adaptive Action Chunking at Inference-time for Vision-Language-Action Models CVPR 2026 Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment AAAI 2025 Few-Shot Object Detection via Classification Refinement and Distractor Retreatment CVPR 2021