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cs.CV2026
Steerable Visual Representations
Jona Ruthardt, Manu Gaur, Deva Ramanan +2
Pretrained Vision Transformers (ViTs) such as DINOv2 and MAE provide generic image features that can be applied to a variety of downstream tasks such as retrieval, classification,…
cs.CV2025
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning
Manu Gaur, Darshan Singh, Makarand Tapaswi
Image captioning systems are unable to generate fine-grained captions as they are trained on data that is either noisy (alt-text) or generic (human annotations). This is further ex…
cs.CV2024
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation
Manu Gaur, Darshan Singh S, Makarand Tapaswi
Visual Question Answering (VQA) with multiple choice questions enables a vision-centric evaluation of Multimodal Large Language Models (MLLMs). Although it reliably checks the exis…