WebWe introduce FOVEA, an approach for intelligent downsampling that ensures salient image regions remain "magnified" in the downsampled output. Given a high-res image, FOVEA applies a differentiable resampling layer that outputs a small fixed-size image canvas, which is then processed with a differentiable vision module (e.g., object detection ... WebMar 27, 2024 · Chittesh Thavamani et.al. 2303.15390v1: null: 2024-03-27: Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants with no False Negatives and no False Positives: Daniel Widdowson et.al. 2303.15385v1: null: 2024-03-27: Hi4D: 4D Instance Segmentation of Close Human Interaction:
[2303.15390] Learning to Zoom and Unzoom
WebThe Michigan Mathematics Prize Competition (MMPC) is an annual high school mathematics competition held in Michigan. First founded in 1958, the competition has … WebMar 27, 2024 · by Chittesh Thavamani, et al. ∙ Carnegie Mellon University ∙ Nvidia ∙ 0 ∙ share Many perception systems in mobile computing, autonomous navigation, and AR/VR face strict compute constraints that are particularly challenging for … phil ready to love season 4
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WebChittesh Thavamani; Published 2024; Computer Science; Efficient processing of high-res video streams is safety-critical for many robotics applications such as autonomous driving. To maintain real-time performance, many practical systems downsample the video stream. But this can hurt downstream tasks such as (small) object detection. WebOct 1, 2024 · Download Citation On Oct 1, 2024, Chittesh Thavamani and others published FOVEA: Foveated Image Magnification for Autonomous Navigation Find, read and cite all the research you need on ... WebChittesh Thavamani* Carnegie Mellon University Mengtian (Martin) Li* Carnegie Mellon University Nicolas Cebron Argo AI Deva Ramanan Carnegie Mellon University Argo AI … philrealty