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
OpenCV News
- Python Launchpad 2025: Your Blueprint to Mastery and Beyond
- Announcing the OpenCV Perception Challenge for Bin-Picking
- Introduction to 3D Computer Vision: How Machines See the World in 3D
- Computer Vision Engineer LinkedIn Headline Examples
- A Comprehensive Guide to NVIDIA’s AI Stack for Deep Learning Projects
- Different Types of Career Goals for Computer Vision Engineers
- Building a Winning Resume: Essential Tips for Emerging Computer Vision Engineers
- The Rise of Python and Its Impact on Careers in 2025
- Advance Your Career with OpenCV: Master Key Skills and Explore Exciting Projects
- Advance Your Career with OpenCV: Master Key Skills and Explore Exciting Projects
- From Dreams to Reality: How OpenCV University Transformed Venkatesh’s Career
- 10 Interview Questions for Senior Computer Vision Engineers: Practical Insights and Strategies
- Deep Learning Model Training Checklist: Essential Steps for Building and Deploying Models
- Enhance Your Resume with These Essential Computer Vision Projects
- Advanced MLOps Interview Guide: Mastering Key Concepts for Technical Success
PyTorch News
- MLOps Workflow Simplified for PyTorch with Arm and GitHub Collaboration
- GenAI Acceleration for PyTorch 2.5 on Intel® Xeon®Processors
- Integrating Ascend Backend with Torchtune through PyTorch Multi-Device Support
- High-Performance Low-Bit Operators for PyTorch
- PyTorch Grows as the Dominant Open Source Framework for AI and ML: 2024 Year in Review
- Improve RAG performance with torch.compile on AWS Graviton Processors
- docTR joins PyTorch Ecosystem: From Pixels to Data, Building a Recognition Pipeline with PyTorch and docTR
- torchcodec: Easy and Efficient Video Decoding for PyTorch
- vLLM Joins PyTorch Ecosystem: Easy, Fast, and Cheap LLM Serving for Everyone
- Accelerating 2D Dynamic Block Quantized Float8 GEMMs in Triton
- HadaCore: Tensor Core Accelerated Hadamard Transform Kernel
- Supercharging Training using float8 and FSDP2
- Rebellions Joins the PyTorch Foundation as a General Member
- Distilling Llama3.1 8B into 1B in torchtune
- Deep Dive on Cutlass Ping-Pong GEMM Kernel
Nvidia Developers News
- Lessons Learned from Building an AI Sales Assistant
- Introducing New KV Cache Reuse Optimizations in NVIDIA TensorRT-LLM
- NVIDIA JetPack 6.2 Brings Super Mode to NVIDIA Jetson Orin Nano and Jetson Orin NX Modules
- AI Uncovers Potentially Hazardous, Forgotten Oil and Gas Wells
- Accelerating Time Series Forecasting with RAPIDS cuML
- How to Safeguard AI Agents for Customer Service with NVIDIA NeMo Guardrails
- Continued Pretraining of State-of-the-Art LLMs for Sovereign AI and Regulated Industries with iGenius and NVIDIA DGX Cloud
- Strengthening Climate Resilience with AI-Powered Flood Modeling and 3D Visualizations
- GPU Memory Essentials for AI Performance
- Upcoming Event: CUDA Developer Meet Up in Silicon Valley
- Transforming Data Centers into AI Factories for the 5th Industrial Revolution
- Just Released: Learn OpenUSD with New Applied Concepts Courses
- Powering the Next Wave of DPU-Accelerated Cloud Infrastructures with NVIDIA DOCA Platform Framework
- Upcoming Webinar: Inside the RAPIDS-Accelerated Polars GPU Engine
- Enhancing Generative AI Model Accuracy with NVIDIA NeMo Curator