Shyamgopal Karthik

According to our database1, Shyamgopal Karthik authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval.
CoRR, 2024

ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization.
CoRR, 2024

Vision-by-Language for Training-Free Compositional Image Retrieval.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection.
CoRR, 2023

Bringing Generalization to Deep Multi-View Pedestrian Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CLActive: Episodic Memories for Rapid Active Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Bringing Generalization to Deep Multi-view Detection.
CoRR, 2021

Learning From Long-Tailed Data With Noisy Labels.
CoRR, 2021

ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Simple Unsupervised Multi-Object Tracking.
CoRR, 2020

Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and Reliability.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020


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