VisionLab Events
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ReViT: Enhancing vision transformers with residual attention
Vision Transformer (ViT) self-attention mechanism is characterized by feature collapse in deeper layers, resulting in the vanishing of low-level visual features. However, such features can
2 Settembre 2024 Nessun commento
S-GEAR: Semantically Guided Representation Learning for Action Anticipation (ECCV2024)
Action anticipation is forecasting future activity from a partially observed sequence of events. However, this task is exposed to intrinsic future uncertainty and the difficulty
2 Settembre 2024 Nessun commento
23 Agosto 2024 Nessun commento
23 Agosto 2024 Nessun commento
23 Agosto 2024 Nessun commento
23 Agosto 2024 Nessun commento
Computer Vision Conferences
- NTIRE, AI4RWD CVPR WorkshopsSource: Computer Vision Conferences Published on: 2026-01-22
- ICPRAISource: Computer Vision Conferences Published on: 2026-01-22
- ImageMatch, FedVision CVPR WorkshopsSource: Computer Vision Conferences Published on: 2026-01-22
- IWBF 2026 DeadlineSource: Computer Vision Conferences Published on: 2026-01-22
- Source: Computer Vision Conferences Published on: 2026-01-22
- ICPRAI 2026 DeadlineSource: Computer Vision Conferences Published on: 2026-01-22
- CRV 2026 DeadlineSource: Computer Vision Conferences Published on: 2026-01-22
- AIxVR 2026Source: Computer Vision Conferences Published on: 2026-01-22
- IEEE MIPR 2025Source: Computer Vision Conferences Published on: 2025-07-26
- ICPR Preliminary CfPSource: Computer Vision Conferences Published on: 2025-07-26
- SRBS Correction, BMVC WorkshopSource: Computer Vision Conferences Published on: 2025-07-26
- HiCV Abstracts, ICCV WorkshopSource: Computer Vision Conferences Published on: 2025-07-26
- SRBS BMVC WorkshopSource: Computer Vision Conferences Published on: 2025-07-26
- AVSS 2025Source: Computer Vision Conferences Published on: 2025-07-26
- ACIVS 2025Source: Computer Vision Conferences Published on: 2025-07-26
Nvidia News
- How to Use AI Agents to Prepare 3D Scenes for Simulation
- TensorRT Edge-LLM Completes the MLPerf Edge Agentic Benchmark 6.4x Faster on Jetson AGX Thor
- Translating CUDA Tile Operations from Python to Rust Using Agentic AI
- Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each
- How NVIDIA Groq 3 LPX Deterministic Execution Drives Power-Efficient High-Interactivity Inference on NVIDIA Vera Rubin
- How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories
- Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE
- Accelerating Dropless MoE Training in JAX with NVIDIA Transformer Engine
- How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra
- High-Throughput Structure Prediction with BioNeMo Inference Runtime
- From Wafer-Out to First Token: Codifying Supply Chain Expertise with Nemotron and Palantir Foundry
- When to Use Encode-Prefill-Decode Disaggregation to Accelerate Multimodal Model Serving
- CUDA Toolkit 13.4 Adds Windows on Arm Support and Greater Control over Shared GPUs
- Introducing CUDA Rust: Two Tracks for Writing GPU Kernels
- Building a Memory-Driven Agent with NVIDIA NemoClaw
Microsoft News
- Called to serve: Tech, research, and positive impact with Chris White
- GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation modelsSource: Microsoft Research Date: 2026-08-31 By Naoto Usuyama, Jeya Maria Jose Valanarasu, Tristan Naumann
- Broadening access to Skala creates a faster path to predictive DFT Source: Microsoft Research Date: 2026-08-20 By Sebastian Ehlert, Stefano Battaglia, Thijs Vogels, Jan Hermann, Jens Wehner, Giulia Luise, Klaas Giesbertz, Chin-Wei Huang, Aaron Kaplan, Kate Milton, Stephanie Marisa Lanius, Derk Kooi, P. Bernát Szabó, Gregor Simm, Rianne van den Berg, Paola Gori Giorgi
- MindTopo reveals VLMs’ spatial reasoning abilitiesSource: Microsoft Research Date: 2026-08-12 By Yunfei Ge, Anbang Liu, Qineng Wang, Johnalbert Garnica, Zihan Wang, Reuben Tan, Jianfeng Gao, Ruohan Zhang, Yining Hong, Jiajun Wu, Manling Li
- Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented MeasurementSource: Microsoft Research Date: 2026-08-11 By Mercy Ranjit, Nikhilesh E, Dr. Abhyuday Kumara Swamy, Tanuja Ganu
- Echoverse: Deep, evolving environments for computer-use agentsSource: Microsoft Research Date: 2026-07-30 By Akshay Nambi, Yash Pandya, Sahil Gupta, Sarthak Harne, Archana Yadav, Kavyansh Chourasia, Yash Lara, Ahmed Awadallah, Ece Kamar
- EvoLib: Turning experience into evolving knowledgeSource: Microsoft Research Date: 2026-07-30 By Weijia Xu, Alessandro Sordoni, Zelalem Gero, Michel Galley, Eric Yuan, Jianfeng Gao
- Verifying Rust cryptography in SymCrypt, from standards to codeSource: Microsoft Research Date: 2026-07-13 By Son Ho, Cédric Fournet, Antoine Delignat-Lavaud, Samuel Lee, Jason Fisher, Jessica Krynitsky
- Aurora 1.5: Extending open foundation models for weather and Earth-system applicationsSource: Microsoft Research Date: 2026-07-09 By Kenji Takeda, Jonathan Weyn, Amit Misra, Matt Corey, Kevin White, Shannon Monroe, Juan M. Lavista Ferres, Ashley Llorens, Bonnie Kruft
- Flint: A visualization language for the AI eraSource: Microsoft Research Date: 2026-07-08 By Chenglong Wang, Alper Sarikaya, Scott Tsukamaki, Michel Galley, Jianfeng Gao
- SkillOpt: Agent skills as trainable parametersSource: Microsoft Research Date: 2026-06-30 By Yifan Yang, Xuemei Gao, Qi Dai, Bei Liu, Kai Qiu, Dongdong Chen, Chong Luo
- Memora: A Harmonic Memory Representation Balancing Abstraction and SpecificitySource: Microsoft Research Date: 2026-06-29 By Xuchao Zhang, Molly Xia, Mayukh Das, Anson Bastos, Chetan Bansal, Saravan Rajmohan
- Understanding the brain with AI-driven explanations and experiments
- Ire identifies another LOTUSLITE specimen
- Data Formulator 0.7: AI-powered data analytics for enterprise dataSource: Microsoft Research Date: 2026-05-28 By Chenglong Wang, Scott Tsukamaki, Michel Galley, Jianfeng Gao
Google AI News
- Generative AI to quantify uncertainty in weather forecasting
- AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
- Computer-aided diagnosis for lung cancer screening
- Using AI to expand global access to reliable flood forecasts
- ScreenAI: A visual language model for UI and visually-situated language understanding
- SCIN: A new resource for representative dermatology images
- MELON: Reconstructing 3D objects from images with unknown poses
- HEAL: A framework for health equity assessment of machine learning performance
- Cappy: Outperforming and boosting large multi-task language models with a small scorer
- Talk like a graph: Encoding graphs for large language models
- Chain-of-table: Evolving tables in the reasoning chain for table understanding
- Health-specific embedding tools for dermatology and pathology
- Social learning: Collaborative learning with large language models
- Croissant: a metadata format for ML-ready datasets
- Google at APS 2024
