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
- 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
- Networking and Skill Enhancement for Computer Vision Professionals
- SenseCrypt eID on OpenCV Live
- Press Release: PyCharm Becomes Official IDE of OpenCV, JetBrains Joins as Silver Member
- 10 Essential Tools Every Beginner & Advanced Computer Vision Developer Should Master
- 7 Essential Keys to Unlock Your Career in AI
- 4 Steps to Successfully Transition to a Computer Vision Career From Other Careers: A Guide for Career Changers
PyTorch News
- 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
- Deploying LLMs with TorchServe + vLLM
- Triton Kernel Compilation Stages
- Getting started with PyTorch, ExecuTorch, and Ethos-U85 in three easy steps
- Unleashing the Power of AI on Mobile: LLM Inference for Llama 3.2 Quantized Models with ExecuTorch and KleidiAI
- Intel GPU Support Now Available in PyTorch 2.5
Nvidia Developers News
- Accelerating GPU Analytics Using RAPIDS and Ray
- NVIDIA Hackathon Winners Share Strategies for RAPIDS-Accelerated ML Workflows
- Build a Generative AI Medical Device Training Assistant with NVIDIA NIM Microservices
- Just Released: GPU Zen 3: Advanced Rendering Techniques
- Taking Computational Fluid Dynamics to the Next Level with the NVIDIA H200 Tensor Core GPU
- New Whitepaper: NVIDIA AI Enterprise Security
- Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models
- RAPIDS 24.12 Introduces cuDF on PyPI, CUDA Unified Memory for Polars, and Faster GNNs
- AI Vision Helps Green Recycling Plants
- Accelerating Film Production with Dell AI Factory and NVIDIA
- Spotlight: Stone Ridge Technology Accelerates Reservoir Simulation Workflows with NVIDIA Modulus on AWS
- Security for Data Privacy in Federated Learning with CUDA-Accelerated Homomorphic Encryption in XGBoost
- A Guide to Retrieval-Augmented Generation for AEC
- Five Takeaways from NVIDIA 6G Developer Day 2024
- NVIDIA TensorRT-LLM Now Supports Recurrent Drafting for Optimizing LLM Inference