Multimodal large language models (MLLMs) have recently achieved impressive general-
purpose vision-language capabilities through visual instruction tuning. However current …

We present an approach to pose object recognition as next token prediction. The idea is to
apply a language decoder that auto-regressively predicts the text tokens from image …

In this paper, we introduce DINO-X, which is a unified object-centric vision model developed
by IDEA Research with the best open-world object detection performance to date. DINO-X …

Explainability in artificial intelligence is crucial for restoring trust, particularly in areas like
face forgery detection, where viewers often struggle to distinguish between real and …

We identify a critical bias in contemporary CLIP-based models, which we denote as single
tag bias. This bias manifests as a disproportionate focus on a singular tag (word) while …

The increasing popularity of compact and inexpensive cameras, eg dash cameras, body
cameras, and cameras equipped on robots, has sparked a growing interest in detecting …