output
20152024
most citedUnitBox: An Advanced Object Detection Network

1.6k citations

Showing 2019 · cs.CVShow all

11 papers · 2 filters

cs.CV2019★ 79 cited

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

Boyan Zhou, Quan Cui, Xiu-Shen Wei +1

Our work focuses on tackling the challenging but natural visual recognition task of long-tailed data distribution (i.e., a few classes occupy most of the data, while most classes h…

cs.CV2019★ 57 cited

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

Yinda Xu, Zeyu Wang, Zuoxin Li +2

Visual tracking problem demands to efficiently perform robust classification and accurate target state estimation over a given target at the same time. Former methods have proposed…

cs.CV2019★ 37 cited

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

Yisheng He, Wei Sun, Haibin Huang +3

In this work, we present a novel data-driven method for robust 6DoF object pose estimation from a single RGBD image. Unlike previous methods that directly regressing pose parameter…

cs.CV2019★ 12 cited

Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration

Jiahao Li, Changhao Zhang, Ziyao Xu +2

In this paper, we propose a novel learning-based pipeline for partially overlapping 3D point cloud registration. The proposed model includes an iterative distance-aware similarity…

cs.CV2019★ 23 cited

Content-Aware Unsupervised Deep Homography Estimation

Jirong Zhang, Chuan Wang, Shuaicheng Liu +5

Homography estimation is a basic image alignment method in many applications. It is usually conducted by extracting and matching sparse feature points, which are error-prone in low…

cs.CV2019★ 3 cited

Deep Fusion Network for Image Completion

Xin Hong, Pengfei Xiong, Renhe Ji +1

Deep image completion usually fails to harmonically blend the restored image into existing content, especially in the boundary area. This paper handles with this problem from a new…

cs.CV2019★ 5 cited

Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation

Jiaming Liu, Chi-Hao Wu, Yuzhi Wang +8

In this paper, we present new data pre-processing and augmentation techniques for DNN-based raw image denoising. Compared with traditional RGB image denoising, performing this task…

cs.CV2019★ 17 cited

When AWGN-based Denoiser Meets Real Noises

Yuqian Zhou, Jianbo Jiao, Haibin Huang +4

Discriminative learning-based image denoisers have achieved promising performance on synthetic noises such as Additive White Gaussian Noise (AWGN). The synthetic noises adopted in…

cs.CV2019★ 238 cited

Single Path One-Shot Neural Architecture Search with Uniform Sampling

Zichao Guo, Xiangyu Zhang, Haoyuan Mu +4

We revisit the one-shot Neural Architecture Search (NAS) paradigm and analyze its advantages over existing NAS approaches. Existing one-shot method, however, is hard to train and n…

cs.CV2019★ 173 cited

DetNAS: Backbone Search for Object Detection

Yukang Chen, Tong Yang, Xiangyu Zhang +3

Object detectors are usually equipped with backbone networks designed for image classification. It might be sub-optimal because of the gap between the tasks of image classification…

cs.CV2019★ 11 cited

Two-phase Hair Image Synthesis by Self-Enhancing Generative Model

Haonan Qiu, Chuan Wang, Hang Zhu +3

Generating plausible hair image given limited guidance, such as sparse sketches or low-resolution image, has been made possible with the rise of Generative Adversarial Networks (GA…