Shyamgopal Karthik

11 papers · 2020–2026 · 6 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18)

🏆 Keyword Champion (2) 🧬 Topic Evolution 💎 Century Club · Bronze 🔥 Unstoppable · Bronze 🚀 Conference Pioneer

Venues

CVPR (2) ECCV (2) ICCV (2) ICLR (2) NeurIPS (2) WACV (1)

Top co-authors

Zeynep Akata (7) Massimiliano Mancini (4) Vineet Gandhi (3) Uddeshya Upadhyay (2) Karsten Roth (2) Anne Harrington (1) Ameya Prabhu (1) Alexey Dosovitskiy (1) Kanishk Jain (1) Thomas Hummel (1)

Research topics

Machine Learning (6) Artificial Intelligence (4) Deep Learning (3) Core Methods (3) Learning Paradigms (3) Models (3) Computer Vision (2) Core AI (2) Optimization & Theory (2) Knowledge & Reasoning (1) Analysis (1) Application Areas (1) Bayesian & Probabilistic (1) Generation (1) Learning Types (1)

Keywords

zero-shot learning (2) vision-language model (2) noise optimization (2) test-time adaptation (2) text-to-image generation (2) image recognition (1) multimodal learning (1) probabilistic modeling (1) fine-grained classification (1) object tracking (1) compositional learning (1) label hierarchy (1) direct preference optimization (1) knowledge graph (1) reward model (1) diffusion model (1) generative model (1) video understanding (1) multimodal reasoning (1) hierarchical classification (1)

Papers

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models CVPR 2026 Scalable Ranked Preference Optimization for Text-to-Image Generation ICCV 2025 EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval ECCV 2024 ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization NeurIPS 2024 Vision-by-Language for Training-Free Compositional Image Retrieval ICLR 2024 ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models ICCV 2023 Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification NeurIPS 2023 BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks ECCV 2022 KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning CVPR 2022 No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks ICLR 2021 Exploring 3 R's of Long-term Tracking: Redetection, Recovery and Reliability WACV 2020