Showing 1–19 of 19 results
/ Date/ Name
Nov 18, 2021Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset TranscriptionsNov 23, 2016Image-based localization using LSTMs for structured feature correlationNov 10, 2022Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustnessDec 9, 2022A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersSep 26, 2023VPA: Fully Test-Time Visual Prompt AdaptationApr 11, 2023Pinpointing Why Object Recognition Performance Degrades Across Income Levels and GeographiesMar 31, 2022Generating High Fidelity Data from Low-density Regions using Diffusion ModelsApr 4, 2017Deep Depth From FocusFeb 11, 2024The Bias of Harmful Label Associations in Vision-Language ModelsJun 17, 2021Localized Uncertainty AttacksApr 26, 2015FlowNet: Learning Optical Flow with Convolutional NetworksMar 8, 2023The Casual Conversations v2 DatasetApr 6, 2021Towards Measuring Fairness in AI: the Casual Conversations DatasetApr 11, 2017Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging ProblemsNov 3, 2022ImageNet-X: Understanding Model Mistakes with Factor of Variation AnnotationsFeb 15, 2022Fairness Indicators for Systematic Assessments of Visual Feature ExtractorsJan 19, 2018What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?Jun 20, 2023Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person SynthesisAug 9, 2024UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling