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Aveen Dayal

4 papers · 2023–2026 · 4 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

Venues

CVPR (1) ECCV (1) NeurIPS (1) WACV (1)

Top co-authors

Abhinav Kumar (3) Linga Reddy Cenkeramaddi (3) Rishabh Lalla (2) Vineeth N Balasubramanian (2) Nidhi Tiwari (1) Peketi Divya (1) Vimal K B (1) C. Krishna Mohan (1) Muhammad Haris Khan (1) Tejal Kulkarni (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Application Areas · Machine Learning (2) Learning Paradigms (2) Computer Vision (1) Deep Learning (1) Analysis (1) Application Areas · Deep Learning (1) Core AI (1) Learning Types (1) Optimization & Theory (1)

Keywords

adversarial learning (1) domain generalization (1) multimodal learning (1) unsupervised domain adaptation (1) generalization bound (1) vision foundation model (1) domain shift (1) margin loss (1) domain-invariant feature (1) domain gap (1) feature space regularization (1) source-free object detection (1) adversarial alignment (1) noise-robust pseudo-labeling (1)

Papers

Bridging the Domain Gap in Small Multimodal Models: A Dual-level Alignment Perspective WACV 2026 Foundation Model Priors Enhance Object Focus in Feature Space for Source-Free Object Detection CVPR 2026 Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach ECCV 2024 MADG: Margin-based Adversarial Learning for Domain Generalization NeurIPS 2023