VisionLab Events
HIGHLIGHT
OTHER NEWS
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
- AVD Extension ICIAP Workshop
- SRBS BMVC Workshop
- SUMAC 2025 Deadline
- ACIVS 2025
- IEEE MIPR 2025
- WACV 2026 Deadline
- Disaster Mgmt IVC Special
- CBMI Second Round
- VCIP 2025 Deadline
- MVA Information
- ACM MM Asia
- 3DOR Short Papers
- AIM, ASI, Marine ICCV Workshops
- AnalyticsExtension ACM MM Workshop
- VMV 2025 Deadline
OpenCV News
- MedSAM2: Segment Anything in 3D Medical Images and Videos
- Top Computer Vision Projects
- Fingerprint Matching Using OpenCV
- Introducing The OpenCV-SID Conference on Computer Vision & AI
- GenZ-ICP: Generalizable and Degeneracy-Robust LiDAR Odometry Using Adaptive Weighting
- MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
- CVPR 2025-Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
- AirSLAM: An Efficient and Illumination-Robust Point-Line Visual SLAM System
- MCP – A Beginner’s Guide
- Raspberry Pi with OpenCV: Getting Hands-On with AI at the Edge
- Cropping an Image Using OpenCV
- Pixel-Level Image Manipulation using OpenCV
- AI Internships: How to Land One?
- Catching Up With OpenMV – OpenCV In Conversation Episode 1
- Manus AI: Revolutionizing Autonomy in Artificial Intelligence
PyTorch News
- Recap of the PyTorch Korea User Group Meetup: A Technical Conference with a PyTorch Core Maintainer
- PyTorch Day France Featured Sessions: A Defining Moment for Open Source AI
- Announcing the PyTorch Docathon 2025
- How IBM Research Uses PyTorch and TerraTorch to Make Geospatial Computer Vision Accessible for Everyone
- 6x faster Async Checkpointing in PyTorch, using Cached Plans, no GIL contention
- FlexAttention Part II: FlexAttention for Inference
- PyTorch Foundation Expands to an Umbrella Foundation to Accelerate AI Innovation
- Accelerating Large Scale Training and Convergence with PyTorch Float8 Rowwise on Crusoe 2K H200s
- Accelerate PyTorch 2.7 on Intel® GPUs
- PyTorch 2.7 Release
- Accelerating Whisper on Arm with PyTorch and Hugging Face Transformers
- Accelerating Whisper on Arm with PyTorch and Hugging Face Transformers
- PyTorch Day France 2025: Call For Proposals Open
- OpenReg: A Self-Contained PyTorch Out-of-Tree Backend Implementation Using “PrivateUse1” Mechanism
- PyTorch Day China 2025 Call for Proposals Open
Nvidia Developers News
- InfiniBand Multilayered Security Protects Data Centers and AI Workloads
- Accelerating Video Production and Customization with GliaCloud and NVIDIA Omniverse Libraries
- From Terabytes to Turnkey: AI-Powered Climate Models Go Mainstream
- Reinforcement Learning with NVIDIA NeMo-RL: Reproducing a DeepScaleR Recipe Using GRPO
- Delivering the Missing Building Blocks for NVIDIA CUDA Kernel Fusion in Python
- Asking an Encyclopedia-Sized Question: How To Make the World Smarter with Multi-Million Token Real-Time Inference
- NVIDIA cuQuantum Adds Dynamic Gradients, DMRG, and Simulation Speedup
- Turbocharging AI Factories with DPU-Accelerated Service Proxy for Kubernetes
- LLM Inference Benchmarking: Performance Tuning with TensorRT-LLM
- RAPIDS Adds GPU Polars Streaming, a Unified GNN API, and Zero-Code ML Speedups
- New Video: Build Self-Improving AI Agents with the NVIDIA Data Flywheel Blueprint
- Advanced NVIDIA CUDA Kernel Optimization Techniques: Handwritten PTX
- NVIDIA Omniverse: What Developers Need to Know About Migration Away From Launcher
- Optimizing FLUX.1 Kontext for Image Editing with Low-Precision Quantization
- Per-Tensor and Per-Block Scaling Strategies for Effective FP8 Training