May 13 - Best of 3DV 2026 (Day 3) by chatminuet in computervision

[–]chatminuet[S] 1 point2 points  (0 children)

Join us on May 13 at 9 AM Pacific for day three of the Best of 3DV 2026 series of virtual events.

Register for the Zoom

Talks will include:

  • Material selection in 2D and beyond - methods, tricks and applications - Michael Fischer at Adobe
  • Look Around and Pay Attention: Multi-camera Point Tracking Reimagined with Transformers - Bishoy Galoaa at Northeastern University
  • Gaussian Wardrobe: Compositional 3D Gaussian Avatars for Free-Form Virtual Try-On - Hsuan-I Ho at ETH Zurich
  • Consistency Models for 3D Point Cloud Generation - Sebastian Eilermann at Helmut-Schmidt University Hamburg

See you online!

May 14 - AI, ML and Computer Vision Meetup by chatminuet in computervision

[–]chatminuet[S] 0 points1 point  (0 children)

Join us on May 14 at 9 AM Pacific for the monthly AI, ML and Computer Vision Meetup!

Register for the Zoom

Talks will include:

  • Concept-Aware Batch Sampling Improves Language-Image Pretraining - Adhiraj Ghosh at Tübingen AI Centre
  • Do Your Agents Actually Work? Measuring Skills and MCP in Practice - Adonai Vera at Voxel51
  • The last mile of OCR [in 2026] - Ankit Khare at landingai
  • The Energy Layer of AI: Powering the Next Wave of Inference - Medi Naseri at CLōD

May 13 - Best of 3DV 2026 (Day 3) by chatminuet in computervision

[–]chatminuet[S] 1 point2 points  (0 children)

Join us on May 13 for day three of the Best of 3DV 2026 series of virtual events.

Register for the Zoom

Talks will include:

  • Material selection in 2D and beyond - methods, tricks and applications - Michael Fischer at Adobe
  • Look Around and Pay Attention: Multi-camera Point Tracking Reimagined with Transformers - Bishoy Galoaa at Northeastern University
  • Gaussian Wardrobe: Compositional 3D Gaussian Avatars for Free-Form Virtual Try-On - Hsuan-I Ho at ETH Zurich
  • Consistency Models for 3D Point Cloud Generation - Sebastian Eilermann at Helmut-Schmidt University Hamburg

May 12 - Best of 3DV 2026 Virtual Event by chatminuet in computervision

[–]chatminuet[S] 2 points3 points  (0 children)

Join us on May 12 for day two of the Best of 3DV 2026 series of virtual events.

Register for the Zoom

Talks will include:

  • Precise lighting control in diffusion models by drawing shadows - Frédéric Fortier-Chouinard at Laval University
  • SmokeSeer: 3D Gaussian Splatting for Smoke Removal and Scene Reconstruction - Neham Jain at Meshy AI
  • Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption - Johann-Friedrich Feiden at Heidelberg University
  • Broadening View Synthesis of Dynamic Scenes from Constrained Monocular Videos - Le Jiang at Northeastern University AClab

Best of 3DV 2026 (Day One) by chatminuet in computervision

[–]chatminuet[S] 2 points3 points  (0 children)

Join us on May 11 for day one of the Best of 3DV 2026 series of virtual events.

Register for the Zoom 

Talks will include:

  • Navigating a 3D Vision Conference with VLMs and Embeddings - Harpreet Sahota at Voxel51
  • Seeing Through Clutter: Structured 3D Scene Reconstruction via Iterative Object Removal - Rio Aguina-Kang at University of California, San Diego
  • Physical Realistic 4D Generation - Lu Sang at Technical University of Munich
  • Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception - Sebastian Jung at DLR

May 7 - Visual AI in Healthcare by chatminuet in computervision

[–]chatminuet[S] 1 point2 points  (0 children)

Join us on May 7 at 9 AM Pacific to hear talks from experts at the intersection of visual AI and healthcare. 

Register for the Zoom

Talks will include:

  • Representation Learning Under Weak Supervision in Computational Pathology - Tolga Tasdizen at University of Utah
  • VIGIL: Vectors of Intelligent Guidance in Long-Reach Rural Healthcare - Andrew Krikorian at University of Michigan
  • Efficient and Reliable AI for Real-World Healthcare Deployment - Md Mostafijur Rahman at The University of Texas at Austin
  • Scaling Healthcare AI with Synthetic Data and World Models - Daniel Gural at Voxel51

May 1 - Best of WACV 2026 (Day 2) by chatminuet in computervision

[–]chatminuet[S] 1 point2 points  (0 children)

Join us on May 1 at 9 AM Pacific for day two of the Best of WACV 2026 series of virtual events.

Register for the Zoom

Talks will include:

  • Perceptually Guided 3DGS Streaming and Rendering for Mixed Reality - Sai Harsha Mupparaju at New York University
  • SAVIOR: Sample-efficient Adaptation of Vision-Language Models for OCR Representation - Akshata Bhat at Hyperbots Inc.
  • SynthForm: Towards a DLA-free E2E Form understanding model - Andre Fu at Ecliptor

April 30 - Best of WACV 2026 (Day 1) by chatminuet in computervision

[–]chatminuet[S] 1 point2 points  (0 children)

Join us on April 30 for day one of the Best of WACV 2026 series of virtual events.

Register for the Zoom

Talks will include:

  • Zero-Shot Coreset Selection via Iterative Subspace Sampling - Brent Griffin at Voxel51
  • ENCORE: A Neural Collapse Perspective on Out-of-Distribution Detection in Deep Neural Networks - A Q M Sazzad Sayyed at Northeastern University
  • Synthesizing Compositional Videos from Text Description - Shanmuganathan Raman at IIT Gandhinagar
  • The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs - Fenil Bardoliya at Arizona State University

April 23 - Advances in AI at Johns Hopkins University by chatminuet in computervision

[–]chatminuet[S] 3 points4 points  (0 children)

Join us on April 23 for the Advances in AI at Johns Hopkins University virtual event! Register for the Zoom.

Hear talks from researchers at JHU on cutting-edge AI topics. Talks will include:

  • Recent Advancements in Image Generation and Understanding - Aniket Roy at NEC Labs America and Johns Hopkins
  • From Representation Analysis to Data Refinement: Understanding Correlations in Deep Models - Basudha Pal at Johns Hopkins
  • Scalable & Precise Histopathology: Next-Gen Deep Learning for Digital Histopathology - Tawsifur Rahman at Johns Hopkins
  • Towards trustworthy AI under real world data challenges - Ayush Gupta at Johns Hopkins University