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
- How DOCA GPUNetIO Unifies GPU-Initiated Networking Across the NVIDIA Software Stack
- AICR v1.0: Open, stable, and verifiable GPU cluster configuration
- Control How Your GPU Shares Work with Green Contexts
- Build Applications on NVIDIA BlueField Faster with NVIDIA DOCA Agent Skills
- Build Local AI Apps with C++ and NVIDIA TensorRT RTX Samples
- Fine-Tuning NVIDIA Nemotron for Saudi Arabic Dialects, with a Path to Other Languages
- Deploying an HSTU Generative Recommender with NVIDIA Dynamo-Triton
- Expanding AI Storage Access with NVIDIA cuObject and the NVIDIA SCADA Server SDK
- Tracing Agent Harness Behavior with NVIDIA NeMo Relay
- AI Native by Design: Lessons Learned from Building NVIDIA TensorRT Model Connect
- Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3
- NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring
- Add Runtime Controls to AI Agents with NVIDIA OpenShell
- How NVIDIA DSX MaxLPS Maximizes AI Factory Throughput and Efficiency
- Efficient MoE Training for Biological Foundation Models
Microsoft News
- What AI gets wrong and what failure teaches us
- Forecasting space weather risks on power grids
- Introducing Quine: An AI research system designed for the complexity of biology
- One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact
- Offloaded inference for real-world physical AI robotics
- Improving synthesis prediction of small molecules at scale with RetroChimera
- Called to serve: Tech, research, and positive impact with Chris White
- GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models
- Broadening access to Skala creates a faster path to predictive DFT
- MindTopo reveals VLMs’ spatial reasoning abilities
- Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement
- Echoverse: Deep, evolving environments for computer-use agents
- EvoLib: Turning experience into evolving knowledge
- Verifying Rust cryptography in SymCrypt, from standards to code
- Aurora 1.5: Extending open foundation models for weather and Earth-system applications
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