940 citations · 1.4k across the 43 of their papers we have counts for
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Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis
Jianqiao Wangni, Dahua Lin, Ji Liu +2
For recovering 3D object poses from 2D images, a prevalent method is to pre-train an over-complete dictionary of 3D basis poses. During testing, the detect…
Learning Discriminative Motion Features Through Detection
Gedas Bertasius, Christoph Feichtenhofer, Du Tran +2
Despite huge success in the image domain, modern detection models such as Faster R-CNN have not been used nearly as much for video analysis. This is arguably due to the fact that d…
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination
Liangzhe Yuan, Yibo Chen, Hantian Liu +2
We propose a light-weight video frame interpolation algorithm. Our key innovation is an instance-level supervision that allows information to be learned from the high-resolution ve…
Adversarial Structure Matching for Structured Prediction Tasks
Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi +1
Pixel-wise losses, e.g., cross-entropy or L2, have been widely used in structured prediction tasks as a spatial extension of generic image classification or regression. However, it…
Egocentric Basketball Motion Planning from a Single First-Person Image
Gedas Bertasius, Aaron Chan, Jianbo Shi
We present a model that uses a single first-person image to generate an egocentric basketball motion sequence in the form of a 12D camera configuration trajectory, which encodes a…
Object Detection in Video with Spatiotemporal Sampling Networks
Gedas Bertasius, Lorenzo Torresani, Jianbo Shi
We propose a Spatiotemporal Sampling Network (STSN) that uses deformable convolutions across time for object detection in videos. Our STSN performs object detection in a video fram…