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Computer Vision

228 papers

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Papers

Contrastive Inductive Bias Controlling Networks for Reinforcement Learning ACML 2022 CURVATURE-GUIDED DYNAMIC SCALE NETWORKS FOR MULTI-VIEW STEREO ICLR 2022 DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow CVPR 2022 FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and Localization ACML 2022 Hierarchical Normalization for Robust Monocular Depth Estimation NeurIPS 2022 Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching NeurIPS 2022 W-CTC: a Connectionist Temporal Classification Loss with Wild Cards ICLR 2022 Domain Adaptive YOLO for One-Stage Cross-Domain Detection ACML 2021 Iterative Deep Model Compression and Acceleration in the Frequency Domain ACML 2021 Leveraging the Availability of Two Cameras for Illuminant Estimation CVPR 2021 Locally Free Weight Sharing for Network Width Search ICLR 2021 Pedestrian Wind Factor Estimation in Complex Urban Environments ACML 2021 Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement ACML 2021 Project RISE: Recognizing Industrial Smoke Emissions AAAI 2021 Pyramid Correlation based Deep Hough Voting for Visual Object Tracking ACML 2021 Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation CVPR 2021 TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis NeurIPS 2021 Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes CVPR 2021 AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing ICLR 2020 A foreground detection algorithm for Time-of-Flight cameras adapted dynamic integration time adjustment and multipath distortions ACML 2020 Deep Generalized Convolutional Sum-Product Networks PGM 2020 Deep Polarization Cues for Transparent Object Segmentation CVPR 2020 Learning to Measure the Static Friction Coefficient in Cloth Contact CVPR 2020 Quantifying the Cost of Reliable Photo Authentication via High-Performance Learned Lossy Representations ICLR 2020 Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds ICLR 2020