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
Nvidia News
- Running Large-Scale GPU Workloads on Kubernetes with Slurm
- Cut Checkpoint Costs with About 30 Lines of Python and NVIDIA nvCOMP
- How to Accelerate Protein Structure Prediction at Proteome-Scale
- Integrate Physical AI Capabilities into Existing Apps with NVIDIA Omniverse Libraries
- Running AI Workloads on Rack-Scale Supercomputers: From Hardware to Topology-Aware Scheduling
- Accelerating Vision AI Pipelines with Batch Mode VC-6 and NVIDIA Nsight
- Achieving Single-Digit Microsecond Latency Inference for Capital Markets
- Bringing AI Closer to the Edge and On-Device with Gemma 4
- CUDA Tile Programming Now Available for BASIC!
- NVIDIA Extreme Co-Design Delivers New MLPerf Inference Records
- Accelerate Token Production in AI Factories Using Unified Services and Real-Time AI
- Stream High-Fidelity Spatial Computing Content to Any Device with NVIDIA CloudXR 6.0
- Build and Stream Browser-Based XR Experiences with NVIDIA CloudXR.js
- Maximize AI Infrastructure Throughput by Consolidating Underutilized GPU Workloads
- How Centralized Radar Processing on NVIDIA DRIVE Enables Safer, Smarter Level 4 Autonomy
Microsoft News
- Ideas: Steering AI toward the work future we want
- ADeLe: Predicting and explaining AI performance across tasks
- AsgardBench: A benchmark for visually grounded interactive planning
- Will machines ever be intelligent?
- Systematic debugging for AI agents: Introducing the AgentRx framework
- Phi-4-reasoning-vision and the lessons of training a multimodal reasoning model
- Trailer: The Shape of Things to Come
- CORPGEN advances AI agents for real work
- Media Authenticity Methods in Practice: Capabilities, Limitations, and Directions
- Project Silica’s advances in glass storage technology
- Rethinking imitation learning with Predictive Inverse Dynamics Models
- Paza: Introducing automatic speech recognition benchmarks and models for low resource languages
- UniRG: Scaling medical imaging report generation with multimodal reinforcement learning
- Multimodal reinforcement learning with agentic verifier for AI agents
- OptiMind: A small language model with optimization expertise
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