activity
20152023
most citedMulti-view Convolutional Neural Networks for 3D Shape Recognition

279 citations · 374 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts

Xiaofeng Mao, Yuefeng Chen, Yao Zhu +4

Practical object detection application can lose its effectiveness on image inputs with natural distribution shifts. This problem leads the research community to pay more attention…

cs.CV2019★ 20 cited

Pixel-Adaptive Convolutional Neural Networks

Hang Su, Varun Jampani, Deqing Sun +3

Convolutions are the fundamental building block of CNNs. The fact that their weights are spatially shared is one of the main reasons for their widespread use, but it also is a majo…

cs.CV2018★ 73 cited

SPLATNet: Sparse Lattice Networks for Point Cloud Processing

Hang Su, Varun Jampani, Deqing Sun +4

We present a network architecture for processing point clouds that directly operates on a collection of points represented as a sparse set of samples in a high-dimensional lattice.…

cs.CV2017★ 2 cited

End-to-end Face Detection and Cast Grouping in Movies Using Erdős-Rényi Clustering

SouYoung Jin, Hang Su, Chris Stauffer +1

We present an end-to-end system for detecting and clustering faces by identity in full-length movies. Unlike works that start with a predefined set of detected faces, we consider t…

cs.CV2015★ 279 cited

Multi-view Convolutional Neural Networks for 3D Shape Recognition

Hang Su, Subhransu Maji, Evangelos Kalogerakis +1

A longstanding question in computer vision concerns the representation of 3D shapes for recognition: should 3D shapes be represented with descriptors operating on their native 3D f…