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20152026
most citedHowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

926 citations · 1k across the 39 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

STRinGS: Selective Text Refinement in Gaussian Splatting

Abhinav Raundhal, Gaurav Behera, P J Narayanan +2

Text as signs, labels, or instructions is a critical element of real-world scenes as they can convey important contextual information. 3D representations such as 3D Gaussian Splatt…

cs.CV2025

MALeR: Improving Compositional Fidelity in Layout-Guided Generation

Shivank Saxena, Dhruv Srivastava, Makarand Tapaswi

Recent advances in text-to-image models have enabled a new era of creative and controllable image generation. However, generating compositional scenes with multiple subjects and at…

cs.CV2025

More than a Moment: Towards Coherent Sequences of Audio Descriptions

Eshika Khandelwal, Junyu Xie, Tengda Han +5

Audio Descriptions (ADs) convey essential on-screen information, allowing visually impaired audiences to follow videos. To be effective, ADs must form a coherent sequence that help…

cs.CV2025

What You See is What You Ask: Evaluating Audio Descriptions

Divy Kala, Eshika Khandelwal, Makarand Tapaswi

Audio descriptions (ADs) narrate important visual details in movies, enabling Blind and Low Vision (BLV) users to understand narratives and appreciate visual details. Existing work…

cs.CV2025

Investigating Mechanisms for In-Context Vision Language Binding

Darshana Saravanan, Makarand Tapaswi, Vineet Gandhi

To understand a prompt, Vision-Language models (VLMs) must perceive the image, comprehend the text, and build associations within and across both modalities. For instance, given an…