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DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning.

, , and . CVPR, page 14390-14401. Computer Vision Foundation / IEEE, (2020)

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RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation., , , , and . IROS, page 5296-5303. (2023)S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal., , , , and . CoRR, (2024)Kinecting the dots: Particle based scene flow from depth sensors., and . ICCV, page 2290-2295. IEEE Computer Society, (2011)The Third Monocular Depth Estimation Challenge., , , , , , , , , and 31 other author(s). CoRR, (2024)Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV., , , and . CoRR, (2024)Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV., , , and . ICCV, page 15722-15733. IEEE, (2023)The Visual Object Tracking VOT2014 Challenge Results., , , , , , , , , and 47 other author(s). ECCV Workshops (2), volume 8926 of Lecture Notes in Computer Science, page 191-217. Springer, (2014)Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation., , and . CVPR, page 6200-6209. Computer Vision Foundation / IEEE, (2019)CERiL: Continuous Event-based Reinforcement Learning., and . BMVC, page 498. BMVA Press, (2023)EDeNN: Event Decay Neural Networks for low latency vision., and . BMVC, page 497. BMVA Press, (2023)