computer vision

SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection AAAI 2023 Scaling MLPs: A Tale of Inductive Bias NeurIPS 2023 Segment Anything in 3D with NeRFs NeurIPS 2023 Self-supervised Pre-training for Mirror Detection ICCV 2023 Sensitivity in Translation Averaging NeurIPS 2023 Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image CVPR 2023 Spike Count Maximization for Neuromorphic Vision Recognition IJCAI 2023 Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark NeurIPS 2023 SWBNet: A Stable White Balance Network for sRGB Images AAAI 2023 The D-WISE Tool Suite: Multi-Modal Machine-Learning-Powered Tools Supporting and Enhancing Digital Discourse Analysis ACL 2023 The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023 The Many Faces of Adversarial Machine Learning AAAI 2023 The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation NeurIPS 2023 TopNet: Transformer-Based Object Placement Network for Image Compositing CVPR 2023 Towards Unified, Explainable, and Robust Multisensory Perception AAAI 2023 Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization CVPR 2023 TransFlow: Transformer As Flow Learner CVPR 2023 Tuning Computer Vision Models With Task Rewards ICML 2023 Uplift and Upsample: Efficient 3D Human Pose Estimation With Uplifting Transformers WACV 2023 Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving ICCV 2023 Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark CVPR 2023 Vision HGNN: An Image is More than a Graph of Nodes ICCV 2023 YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors CVPR 2023 3DB: A Framework for Debugging Computer Vision Models NeurIPS 2022 Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs ACML 2022