First was the 4th workshop of adversarial machine learning on computer vision at #CVPR2024. I highly recommend the whole event, with standout talks by Zico Kolter (adversarial attacks on aligned language models, talk of the year candidate) and Ludwig Schmidt (data-centric view on reliable generalization) https://www.youtube.com/watch?v=U3SiUQvZ5LM (2/7) #AI #cybersecurity

First was the 2nd workshop on large models at #CVPR2024, with notable talks by Yue Fan (toward a diffusion-based generalist for dense vision tasks) and Hao Su (generative and understanding 3D objects in an open world) https://www.youtube.com/watch?v=UbsRsFkXs8M (2/4) #AI

First was the 4th workshop on open world vision at #CVPR2024. I highly recommend the whole event, and I particularly liked the talks by Walter Scheirer (open issues in open world learning) and Deva Ramanan (open world learning and large mutlimodal models) https://www.youtube.com/watch?v=eTBRrMn9fOU (2/9) #AI

Next was the 2nd workshop on generative models for computer vision at #CVPR2024, with notable talks by Katerina Fragkiadaki (image and video perception with generative feedback) and Andrea Vedaldi (3D generative AI) https://www.youtube.com/watch?v=GEaSNJOpfsU (5/9) #AI

First were a pair of talks by Siwei Lyu (deepfake detection in the real world) and Venkatesh Babu Radhakrishnan (uncovering and addressing biases in diffusion models) at the #CVPR2024 workshop on fair, data-efficient, and trusted computer vision https://www.youtube.com/watch?v=1EZaWcqqlmo (2/4) #AI

Next was the 3rd explainable AI for computer vision workshop at #CVPR2024. I particularly liked the talks by Bernt Schiele (inherent interpretability for deep learning in computer vision) and Tim Miller (human-centered counterfactual explanations for image classification) https://www.youtube.com/watch?v=o2YmzPXtAgc (3/4) #AI #XAI

Next was a great talk by Song Han on designing efficient visual language models at #CVPR2024 https://www.youtube.com/watch?v=lirjgIgngUE (3/5) #AI

First was the workshop on computer vision in the built environment at #CVPR2024. I particularly liked the talk by Caitlin Mueller on using a variety of innovative algorithmic methods to design more sustainable structures https://www.youtube.com/watch?v=kPX459hvku4 (2/6) #AI #architecture

First was an incredible pair of talks at #CVPR2024 by @sarameghanbeery (benchmarking models in a changing world) and William Agnew (mapping the computer vision surveillance and weapons pipeline). These are both tremendous talks, interrogating the fundamental issues with classic computer science benchmarking orthodoxy and the increasing adoption of "neutral" computer vision technologies in decidedly non-neutral contexts, respectively. Highly recommend https://www.youtube.com/watch?v=nPQ1pxOgurQ (2/3) #AI

First was the workshop on continual learning in computer vision at #CVPR2024, with notable talks by Vineeth Balasubramanian (integrating explainability and privacy-awareness) and Elisa Ricci (class-incremental novel class discovery) https://www.youtube.com/watch?v=fQ_HZu-8eMI (2/4) #AI