activity
20162019
most citedInverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image

16 citations · 16 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2019

Pose-variant 3D Facial Attribute Generation

Feng-Ju Chang, Xiang Yu, Ram Nevatia +1

We address the challenging problem of generating facial attributes using a single image in an unconstrained pose. In contrast to prior works that largely consider generation on 2D…

cs.CV201916 cited

Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image

Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi +2

We propose a deep inverse rendering framework for indoor scenes. From a single RGB image of an arbitrary indoor scene, we create a complete scene reconstruction, estimating shape,…

cs.CV2017

Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos

Kihyuk Sohn, Sifei Liu, Guangyu Zhong +3

Despite rapid advances in face recognition, there remains a clear gap between the performance of still image-based face recognition and video-based face recognition, due to the vas…

cs.CV2017

Deep Network Flow for Multi-Object Tracking

Samuel Schulter, Paul Vernaza, Wongun Choi +1

Data association problems are an important component of many computer vision applications, with multi-object tracking being one of the most prominent examples. A typical approach t…

cs.CV2016

WarpNet: Weakly Supervised Matching for Single-view Reconstruction

Angjoo Kanazawa, David W. Jacobs, Manmohan Chandraker

We present an approach to matching images of objects in fine-grained datasets without using part annotations, with an application to the challenging problem of weakly supervised si…