· ai
[Paper] In Pursuit of Pixel Supervision for Visual Pre-training
At the most basic level, pixels are the source of the visual information through which we perceive the world. Pixels contain information at all levels, ranging ...
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- · ai
[Paper] DiffusionVL: Translating Any Autoregressive Models into Diffusion Vision Language Models
In recent multimodal research, the diffusion paradigm has emerged as a promising alternative to the autoregressive paradigm (AR), owing to its unique decoding a...
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[Paper] Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants
Interpreting the internal activations of neural networks can produce more faithful explanations of their behavior, but is difficult due to the complex structure...
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[Paper] Gaussian Pixel Codec Avatars: A Hybrid Representation for Efficient Rendering
We present Gaussian Pixel Codec Avatars (GPiCA), photorealistic head avatars that can be generated from multi-view images and efficiently rendered on mobile dev...
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[Paper] Artism: AI-Driven Dual-Engine System for Art Generation and Critique
This paper proposes a dual-engine AI architectural method designed to address the complex problem of exploring potential trajectories in the evolution of art. W...
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[Paper] Multi-View Foundation Models
Foundation models are vital tools in various Computer Vision applications. They take as input a single RGB image and output a deep feature representation that i...
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[Paper] GateFusion: Hierarchical Gated Cross-Modal Fusion for Active Speaker Detection
Active Speaker Detection (ASD) aims to identify who is currently speaking in each frame of a video. Most state-of-the-art approaches rely on late fusion to comb...
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[Paper] Learning Model Parameter Dynamics in a Combination Therapy for Bladder Cancer from Sparse Biological Data
In a mathematical model of interacting biological organisms, where external interventions may alter behavior over time, traditional models that assume fixed par...
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[Paper] Dynamic Rebatching for Efficient Early-Exit Inference with DREX
Early-Exit (EE) is a Large Language Model (LLM) architecture that accelerates inference by allowing easier tokens to be generated using only a subset of the mod...
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[Paper] End-to-End Training for Autoregressive Video Diffusion via Self-Resampling
Autoregressive video diffusion models hold promise for world simulation but are vulnerable to exposure bias arising from the train-test mismatch. While recent w...
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[Paper] VLIC: Vision-Language Models As Perceptual Judges for Human-Aligned Image Compression
Evaluations of image compression performance which include human preferences have generally found that naive distortion functions such as MSE are insufficiently...
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[Paper] FrontierCS: Evolving Challenges for Evolving Intelligence
We introduce FrontierCS, a benchmark of 156 open-ended problems across diverse areas of computer science, designed and reviewed by experts, including CS PhDs an...