https://arxiv.org/abs/2510.06339v1
[2510.06339v1] Vi-TacMan: Articulated Object Manipulation via Vision and Touch
Abstract page for arXiv paper 2510.06339v1: Vi-TacMan: Articulated Object Manipulation via Vision and Touch
object manipulationvia vision2510articulated
https://viavision.com.au/
Via Vision Entertainment
Via Vision Entertainment is one of Australia's largest independent entertainment companies, and manages a rich catalogue of content across 4K UHD, Blu-ray, and...
via visionentertainment
https://openreview.net/forum?id=NGuGVT7ar2&referrer=%5Bthe%20profile%20of%20Dongxiang%20Zhang%5D(%2Fprofile%3Fid%3D~Dongxiang_Zhang2)
Enhancing LLM Reasoning via Vision-Augmented Prompting | OpenReview
Verbal and visual-spatial information processing are two critical subsystems that activate different brain regions and often collaborate together for cognitive...
via visionenhancingllmreasoningaugmented
https://openreview.net/forum?id=cSAMf9czc4
Red Teaming Language-Conditioned Robot Models via Vision Language Models | OpenReview
Language-conditioned robot models enable robots to perform a wide range of tasks based on natural language instructions. Despite strong performance on existing...
red teamingvia visionlanguageconditionedrobot
https://openreview.net/forum?id=hzVpZDrW73
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context...
Multimodal Large Language Models (MLLMs) have achieved remarkable success in vision understanding, reasoning, and interaction. However, the inference...
large language modelsvia visiondynamicllavaefficient
https://openreview.net/forum?id=zY37C8d6bS
Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement...
Extracting temporally extended skills can significantly improve the efficiency of reinforcement learning (RL) by breaking down complex decision-making problems...
vision language modelsemantictemporalabstractionvia
https://openreview.net/forum?id=zY37C8d6bS&referrer=%5Bthe%20profile%20of%20Ruifeng%20Chen%5D(%2Fprofile%3Fid%3D~Ruifeng_Chen1)
Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement...
Extracting temporally extended skills can significantly improve the efficiency of reinforcement learning (RL) by breaking down complex decision-making problems...
vision language modelsemantictemporalabstractionvia
https://openreview.net/forum?id=l0t2rumAvR&referrer=%5Bthe%20profile%20of%20Baochang%20Zhang%5D(%2Fprofile%3Fid%3D~Baochang_Zhang1)
Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot...
Zero-shot medical detection can further improve detection performance without relying on annotated medical images even upon the fine-tuned model, showing great...
https://deepai.org/publication/efficientvlm-fast-and-accurate-vision-language-models-via-knowledge-distillation-and-modal-adaptive-pruning
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and...
Oct 14, 2022 - 10/14/22 - Pre-trained vision-language models (VLMs) have achieved impressive results in a range of vision-language tasks. However, popular V...
vision language modelsfastaccurateviaknowledge
https://openreview.net/forum?id=Za9Tm07fig
TACO Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression | OpenReview
Recent vision architectures and self-supervised training methods have enabled training computer vision models that are extremely accurate, but come with...
https://openreview.net/forum?id=cFK8znM1Fi
Mitigating Demographic Bias in Vision Transformers via Attention-Guided Fair Representation...
We propose a novel attention-based debiasing framework for Vision Transformers (ViTs) that identifies and mitigates demographic biases through targeted head...
mitigatingdemographicbiasvision
https://openreview.net/forum?id=jzzEHTBFOT&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICLR.cc%2F2024%2FConference%2FAuthors%23your-submissions)
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion |...
In deep learning, test-time adaptation has gained attention as a method for model fine-tuning without the need for labeled data. A prime exemplification is the...
https://huggingface.co/papers/2405.10292
Paper page - Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement...
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https://deepai.org/publication/adapting-pre-trained-language-models-to-vision-language-tasks-via-dynamic-visual-prompting
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting | DeepAI
Jun 1, 2023 - 06/01/23 - Pre-trained language models (PLMs) have played an increasing role in multimedia research. In terms of vision-language (VL) tasks, ...
https://huggingface.co/papers/2305.14985
Paper page - IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language...
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paperidealgptdecomposing
https://www.macstories.net/reviews/lookup-40-adds-object-recognition-via-vision-framework-plus-drag-and-drop/
LookUp 4.0 Adds Object Recognition via Vision Framework, Plus Drag and Drop - MacStories
LookUp is a beautifully designed dictionary app that we first reviewed earlier this year. With its effective use of bold headings and colorful graphics atop a...
https://www.coinspeaker.com/softbank-invests-250m-zeta/
SoftBank Vision Fund 2 Invests $250M in Banking Tech Startup Zeta via Series C Funding - Coinspeaker
May 25, 2021 - Zeta has raised $250 million in funding from Softbank in a Series C round , bringing the total valuation of the startup to $1.45 billion
https://openreview.net/forum?id=x6u2BQ7xcq
Tag2Text: Guiding Vision-Language Model via Image Tagging | OpenReview
This paper presents Tag2Text, a vision language pre-training (VLP) framework, which introduces image tagging into vision-language models to guide the learning...
vision language modelimage taggingguidingviaopenreview
https://clicktotweet.com/Pgho0
A goal-oriented vision board will motivate & energize you to achieve your goals! via @VibeShifting...
https://arxiv.org/abs/2509.25541
[2509.25541] Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
Abstract page for arXiv paper 2509.25541: Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
vision zero