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20232026
most citedChrono: A Simple Blueprint for Representing Time in MLLMs

3 citations · 3 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Reasoning with Image Generation

Nishad Singhi, Hector Garcia Rodriguez, Aditya Arora +2

Chain-of-thought reasoning has revolutionized natural language processing by enabling large language models (LLMs) to decompose problems into intermediate steps before answering. Y…

cs.CV2026

From Visual Cues to Spoken Narration: Rethinking Audio Description

Akshita Gupta, Aditya Arora, Federico Tombari +2

Audio Description (AD) provides spoken narration of visual events during dialogue gaps, making movies accessible to visually impaired audiences. The problem requires determining bo…

cs.LG2026

Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning

Tobias Jan Wieczorek, Leon de Andrade, Thomas Möllenhoff +1

Modern deep learning models remain notoriously prone to overconfidence, limiting their reliability in high-stakes applications. Bayesian methods aim to counter this by learning a d…

cs.CV2026

ReCap: Lightweight Referential Grounding for Coherent Story Visualization

Aditya Arora, Akshita Gupta, Pau Rodriguez +1

Story Visualization aims to generate a sequence of images that faithfully depicts a textual narrative that preserve character identity, spatial configuration, and stylistic coheren…

cs.CV2026

Evaluating the Impact of Post-Training Quantization on Reliable VQA with Multimodal LLMs

Paul Jonas Kurz, Tobias Jan Wieczorek, Mohamed A. Abdelsalam +2

Multimodal Large Language Models (MLLM) are increasingly deployed in domains where both reliability and efficiency are critical. However, current models remain overconfident, produ…