CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs
Representing a 3D scene as multi-view images allows 2D VLMs to reason in 3D by reusing priors from pre-training, side...
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Representing a 3D scene as multi-view images allows 2D VLMs to reason in 3D by reusing priors from pre-training, side...
Vision-Language-Action (VLA) models have shown promising progress in language-conditioned robotic manipulation. Howev...
Large language models often answer structurally unanswerable questions, such as computing cot(-540°) or evaluating (1...
In this paper, we propose ReactVAU, a Slow-Fast Decoupled Framework for real-time streaming Video Anomaly Understandi...
Compressing large-scale neural networks is essential for deploying models on resource-constrained devices. Most exist...
Robot foundation models are trained and evaluated predominantly in English, and robot demonstration corpora do not ex...
We present Cadence, an error-bounded lossy compressor for numeric time series pairing a 330M-parameter time-series fo...
A transformer can make an attribute linearly decodable in its residual stream at a depth where that attribute does no...
The growing realism and accessibility of manipulated and generated faces threaten the trustworthiness of digital medi...
Image relighting is traditionally tackled via complex inverse rendering pipelines, which suffer from ill-posed optimi...
Monocular depth estimation is a ubiquitous yet highly ill-posed computer vision task, with downstream applications in...
Chain-of-Thought (CoT) improves the reasoning ability of Large Language Models (LLMs) but incurs substantial computat...