Výsledky vyhledávání - "Bansal, Nitin"

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CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation

Autor: Zhang, Zhiqi, Bansal, Nitin, Cai, Changjiang, Ji, Pan, Yan, Qingan, Xu, Xiangyu, Xu, Yi

Synthetic datasets are often used to pretrain end-to-end optical flow networks, due to the lack of a large amount of labeled, real-scene data. But major drops in accuracy occur when moving from synthetic to real scenes. How do we better transfer the

Externí odkaz: http://arxiv.org/abs/2210.14383

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Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth

Autor: Bansal, Nitin, Ji, Pan, Yuan, Junsong, Xu, Yi

Multi-task learning (MTL) paradigm focuses on jointly learning two or more tasks, aiming for significant improvement w.r.t model's generalizability, performance, and training/inference memory footprint. The aforementioned benefits become ever so indi

Externí odkaz: http://arxiv.org/abs/2206.10562

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FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras

Autor: Yan, Qingan, Ji, Pan, Bansal, Nitin, Ma, Yuxin, Tian, Yuan, Xu, Yi

In this paper, we deal with the problem of monocular depth estimation for fisheye cameras in a self-supervised manner. A known issue of self-supervised depth estimation is that it suffers in low-light/over-exposure conditions and in large homogeneous

Externí odkaz: http://arxiv.org/abs/2205.02930

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PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo

Autor: Liu, Jiachen, Ji, Pan, Bansal, Nitin, Cai, Changjiang, Yan, Qingan, Huang, Xiaolei, Xu, Yi

We present a novel framework named PlaneMVS for 3D plane reconstruction from multiple input views with known camera poses. Most previous learning-based plane reconstruction methods reconstruct 3D planes from single images, which highly rely on single

Externí odkaz: http://arxiv.org/abs/2203.12082

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