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ORCIDShyamgopal Karthik
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2020 – today
- 2024
[c12]Thomas Hummel
, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Zeynep Akata:
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval. ECCV (37) 2024: 1-17- [c11]Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata:
Vision-by-Language for Training-Free Compositional Image Retrieval. ICLR 2024 - [c10]Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata:
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. NeurIPS 2024 - [i15]Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata:
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. CoRR abs/2406.04312 (2024) - [i14]Thomas Hummel, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Zeynep Akata:
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval. CoRR abs/2407.16658 (2024) - [i13]Shyamgopal Karthik, Huseyin Coskun, Zeynep Akata, Sergey Tulyakov, Jian Ren, Anil Kag:
Scalable Ranked Preference Optimization for Text-to-Image Generation. CoRR abs/2410.18013 (2024) - [i12]Anton Baumann, Rui Li, Marcus Klasson, Santeri Mentu, Shyamgopal Karthik, Zeynep Akata, Arno Solin, Martin Trapp:
Post-hoc Probabilistic Vision-Language Models. CoRR abs/2412.06014 (2024) - 2023
- [c9]Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. ICCV 2023: 1899-1910 - [c8]Kanishk Jain, Shyamgopal Karthik, Vineet Gandhi:
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification. NeurIPS 2023 - [c7]Jeet Vora, Swetanjal Dutta, Kanishk Jain, Shyamgopal Karthik, Vineet Gandhi:
Bringing Generalization to Deep Multi-View Pedestrian Detection. WACV (Workshops) 2023: 110-119 - [i11]Kanishk Jain, Shyamgopal Karthik, Vineet Gandhi:
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification. CoRR abs/2302.00368 (2023) - [i10]Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata:
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection. CoRR abs/2305.13308 (2023) - [i9]Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. CoRR abs/2307.00398 (2023) - [i8]Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata:
Vision-by-Language for Training-Free Compositional Image Retrieval. CoRR abs/2310.09291 (2023) - 2022
- [c6]Sri Aurobindo Munagala, Sidhant Subramanian, Shyamgopal Karthik, Ameya Prabhu, Anoop M. Namboodiri:
CLActive: Episodic Memories for Rapid Active Learning. CoLLAs 2022: 430-440 - [c5]Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. CVPR 2022: 9326-9335 - [c4]Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata:
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. ECCV (12) 2022: 299-317 - [i7]Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. CoRR abs/2205.06784 (2022) - [i6]Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata:
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. CoRR abs/2207.06873 (2022) - 2021
- [c3]Shyamgopal Karthik, Ameya Prabhu, Puneet K. Dokania, Vineet Gandhi:
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks. ICLR 2021 - [c2]Samyak Jain, Pradeep Yarlagadda, Shreyank Jyoti, Shyamgopal Karthik, Ramanathan Subramanian, Vineet Gandhi:
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction. IROS 2021: 3520-3527 - [i5]Shyamgopal Karthik, Ameya Prabhu, Puneet K. Dokania, Vineet Gandhi:
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks. CoRR abs/2104.00795 (2021) - [i4]Shyamgopal Karthik, Jérôme Revaud, Boris Chidlovskii:
Learning From Long-Tailed Data With Noisy Labels. CoRR abs/2108.11096 (2021) - [i3]Jeet Vora, Swetanjal Dutta, Shyamgopal Karthik, Vineet Gandhi:
Bringing Generalization to Deep Multi-view Detection. CoRR abs/2109.12227 (2021) - 2020
- [c1]Shyamgopal Karthik, Abhinav Moudgil, Vineet Gandhi:
Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and Reliability. WACV 2020: 1000-1009 - [i2]Shyamgopal Karthik, Ameya Prabhu, Vineet Gandhi:
Simple Unsupervised Multi-Object Tracking. CoRR abs/2006.02609 (2020)
2010 – 2019
- 2019
- [i1]Shyamgopal Karthik, Abhinav Moudgil, Vineet Gandhi:
Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and Reliability. CoRR abs/1910.12273 (2019)
Coauthor Index
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