Computer Vision AI News & Research · DeepTrendLab

Gemma 4 VLA Demo on Jetson Orin Nano Super

World models

AI systems have already gained impressive mastery over the digital world, but the physical world is still humanity’s domain. As it turns out, building an AI system that can compose…

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Falcon Perception

Nvidia’s Always-On Chip Detects Faces in Less Than a Millisecond

Always-on vision systems might be used in autonomous vehicles, robotics, or to help consumer electronics save power by turning screens off when no one’s around. But to be used in…

Holotron-12B - High Throughput Computer Use Agent

Information-Driven Design of Imaging Systems

An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well…

Run Isaac 0.1 on Replicate

Isaac 0.1 is a lightweight, grounded vision-language model built for real-world perception.

Whole-Body Conditioned Egocentric Video Prediction

× Predicting Ego-centric Video from human Actions (PEVA) . Given past video frames and an action specifying a desired change in 3D pose, PEVA predicts the next video frame. Our…

Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models

By combining State-Space Models (SSMs) for efficient long-range dependency modeling with dense local attention for coherence, and using training strategies like diffusion forcing and frame local attention, researchers from Adobe…

Weight Banding

Weights in the final layer of common visual models appear as horizontal bands. We investigate how and why.

Curve Circuits

Reverse engineering the curve detection algorithm from InceptionV1 and reimplementing it from scratch.

High-Low Frequency Detectors

A family of early-vision neurons reacting to directional transitions from high to low spatial frequency.

Understanding RL Vision

With diverse environments, we can analyze, diagnose and edit deep reinforcement learning models using attribution.

Curve Detectors

Part one of a three part deep dive into the curve neuron family.

An Overview of Early Vision in InceptionV1

An overview of all the neurons in the first five layers of InceptionV1, organized into a taxonomy of 'neuron groups.'

Computing Receptive Fields of Convolutional Neural Networks

Detailed derivations and open-source code to analyze the receptive fields of convnets.