Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and Reliability. - Shyamgopal Karthik; Abhinav Moudgil; Vineet Gandhi (WACV, 2020)

Simple Unsupervised Multi-Object Tracking. - Shyamgopal Karthik; Ameya Prabhu; Vineet Gandhi (CoRR, 2020)

No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks. - Shyamgopal Karthik; Ameya Prabhu; Puneet K. Dokania; Vineet Gandhi (ICLR, 2021)

ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction. - Samyak Jain; Pradeep Yarlagadda; Shreyank Jyoti; Shyamgopal Karthik; Ramanathan Subramanian; Vineet Gandhi (IROS, 2021)

Learning From Long-Tailed Data With Noisy Labels. - Shyamgopal Karthik; Jérôme Revaud; Boris Chidlovskii (CoRR, 2021)

Bringing Generalization to Deep Multi-view Detection. - Jeet Vora; Swetanjal Dutta; Shyamgopal Karthik; Vineet Gandhi (CoRR, 2021)

CLActive: Episodic Memories for Rapid Active Learning. - Sri Aurobindo Munagala; Sidhant Subramanian; Shyamgopal Karthik; Ameya Prabhu; Anoop M. Namboodiri (CoLLAs, 2022)

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. - Shyamgopal Karthik; Massimiliano Mancini; Zeynep Akata (CVPR, 2022)

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. - Uddeshya Upadhyay; Shyamgopal Karthik; Yanbei Chen; Massimiliano Mancini; Zeynep Akata (ECCV (12), 2022)

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. - Uddeshya Upadhyay; Shyamgopal Karthik; Massimiliano Mancini; Zeynep Akata (ICCV, 2023)

Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification. - Kanishk Jain; Shyamgopal Karthik; Vineet Gandhi (NeurIPS, 2023)

Bringing Generalization to Deep Multi-View Pedestrian Detection. - Jeet Vora; Swetanjal Dutta; Kanishk Jain; Shyamgopal Karthik; Vineet Gandhi (WACV (Workshops), 2023)

If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection. - Shyamgopal Karthik; Karsten Roth; Massimiliano Mancini; Zeynep Akata (CoRR, 2023)

EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval. - Thomas Hummel 001; Shyamgopal Karthik; Mariana-Iuliana Georgescu; Zeynep Akata (ECCV (37), 2024)

Vision-by-Language for Training-Free Compositional Image Retrieval. - Shyamgopal Karthik; Karsten Roth; Massimiliano Mancini; Zeynep Akata (ICLR, 2024)

ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. - Luca Eyring; Shyamgopal Karthik; Karsten Roth; Alexey Dosovitskiy; Zeynep Akata (NeurIPS, 2024)

Scalable Ranked Preference Optimization for Text-to-Image Generation. - Shyamgopal Karthik; Huseyin Coskun; Zeynep Akata; Sergey Tulyakov; Jian Ren 005; Anil Kag (CoRR, 2024)

Post-hoc Probabilistic Vision-Language Models. - Anton Baumann; Rui Li 001; Marcus Klasson; Santeri Mentu; Shyamgopal Karthik; Zeynep Akata; Arno Solin; Martin Trapp 001 (CoRR, 2024)

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models. - Mateusz Pach; Shyamgopal Karthik; Quentin Bouniot; Serge J. Belongie; Zeynep Akata (CoRR, 2025)

Concept-Guided Interpretability via Neural Chunking. - Shuchen Wu; Stephan Alaniz; Shyamgopal Karthik; Peter S. Dayan; Eric Schulz; Zeynep Akata (CoRR, 2025)

A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks. - Vishaal Udandarao; Mehdi Cherti; Shyamgopal Karthik; Jenia Jitsev; Samuel Albanie; Matthias Bethge (CoRR, 2025)