activity
20242026
most citedStochastic CHAOS: Why Deterministic Inference Kills, and Distributional Variability Is the Heartbeat of Artifical Cognition

1 citations · 2 across the 23 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2025

DeHate: A Stable Diffusion-based Multimodal Approach to Mitigate Hate Speech in Images

Dwip Dalal, Gautam Vashishtha, Anku Rani +11

The rise in harmful online content not only distorts public discourse but also poses significant challenges to maintaining a healthy digital environment. In response to this, we in…

cs.CV2025

Peccavi: Visual Paraphrase Attack Safe and Distortion Free Image Watermarking Technique for AI-Generated Images

Shreyas Dixit, Ashhar Aziz, Shashwat Bajpai +4

A report by the European Union Law Enforcement Agency predicts that by 2026, up to 90 percent of online content could be synthetically generated, raising concerns among policymaker…

cs.CV2025

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization

Renjith Prasad, Abhilekh Borah, Hasnat Md Abdullah +9

Alignment is crucial for text-to-image (T2I) models to ensure that generated images faithfully capture user intent while maintaining safety and fairness. Direct Preference Optimiza…

cs.CV2024

The Visual Counter Turing Test (VCT2): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (VAI)

Nasrin Imanpour, Abhilekh Borah, Shashwat Bajpai +12

The rapid progress and widespread availability of text-to-image (T2I) generative models have heightened concerns about the misuse of AI-generated visuals, particularly in the conte…

cs.CV2024

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models

Vipula Rawte, Sarthak Jain, Aarush Sinha +9

Recent advances in Large Multimodal Models (LMMs) have expanded their capabilities to video understanding, with Text-to-Video (T2V) models excelling in generating videos from textu…

cs.CV20241 cited

The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks

Niyar R Barman, Krish Sharma, Ashhar Aziz +7

The rapid advancement of text-to-image generation systems, exemplified by models like Stable Diffusion, Midjourney, Imagen, and DALL-E, has heightened concerns about their potentia…