| Simple unsupervised multi-object tracking S Karthik, A Prabhu, V Gandhi arXiv preprint arXiv:2006.02609, 2020 | 103 | 2020 |
| ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction S Jain, P Yarlagadda, S Jyoti, S Karthik, R Subramanian, V Gandhi 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 99 | 2021 |
| KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning S Karthik, M Mancini, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 60 | 2022 |
| Vision-by-Language for Training-Free Compositional Image Retrieval S Karthik, K Roth, M Mancini, Z Akata ICLR 2024, 2024 | 52 | 2024 |
| Learning from long-tailed data with noisy labels S Karthik, J Revaud, B Chidlovskii arXiv preprint arXiv:2108.11096, 2021 | 31 | 2021 |
| ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models U Upadhyay, S Karthik, M Mancini, Z Akata arXiv preprint arXiv:2307.00398, 2023 | 27 | 2023 |
| BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks U Upadhyay, S Karthik, Y Chen, M Mancini, Z Akata European Conference on Computer Vision, 2022, 2022 | 25 | 2022 |
| No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks S Karthik, A Prabhu, PK Dokania, V Gandhi ICLR 2021, 2021 | 25 | 2021 |
| Bringing Generalization to Deep Multi-View Pedestrian Detection J Vora, S Dutta, K Jain, S Karthik, V Gandhi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 20* | 2023 |
| If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection S Karthik, K Roth, M Mancini, Z Akata arXiv preprint arXiv:2305.13308, 2023 | 17 | 2023 |
| Revisiting Visual Product for Compositional Zero-Shot Learning S Karthik, M Mancini, Z Akata NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021 | 13 | 2021 |
| ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization L Eyring, S Karthik, K Roth, A Dosovitskiy, Z Akata NeurIPS, 2024 | 10 | 2024 |
| EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval T Hummel, S Karthik, MI Georgescu, Z Akata ECCV, 2024 | 6 | 2024 |
| Test-time amendment with a coarse classifier for fine-grained classification K Jain, S Karthik, V Gandhi NeurIPS, 2023 | 5 | 2023 |
| Exploring 3 R's of Long-term Tracking: Redetection, Recovery and Reliability S Karthik, A Moudgil, V Gandhi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 5 | 2020 |
| Scalable Ranked Preference Optimization for Text-to-Image Generation S Karthik, H Coskun, Z Akata, S Tulyakov, J Ren, A Kag arXiv preprint arXiv:2410.18013, 2024 | 3 | 2024 |
| CLActive: Episodic Memories for Rapid Active Learning SA Munagala, S Subramanian, S Karthik, A Prabhu, A Namboodiri Conference on Lifelong Learning Agents, 430-440, 2022 | 3 | 2022 |
| Post-hoc Probabilistic Vision-Language Models A Baumann, R Li, M Klasson, S Mentu, S Karthik, Z Akata, A Solin, ... arXiv preprint arXiv:2412.06014, 2024 | | 2024 |
| Method and system for machine learning from imbalanced data with noisy labels S Karthik, J REVAUD, B Chidlovskii US Patent App. 17/829,848, 2023 | | 2023 |
Zeynep AkataProfessor at TUM and Director at Helmholtz Munichhelmholtz-munich.de의 이메일 확인됨
