23 citations · 37 across the 5 of their papers we have counts for
5 papers
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection
Zhenyu Li, Zhipeng Zhang, Heng Fan +4
In this paper, we improve the challenging monocular 3D object detection problem with a general semi-supervised framework. Specifically, having observed that the bottleneck of this…
PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
Xinran Liu, Xiaoqiong Liu, Ziruo Yi +6
Planar object tracking is a critical computer vision problem and has drawn increasing interest owing to its key roles in robotics, augmented reality, etc. Despite rapid progress, i…
High-Fidelity Image Inpainting with GAN Inversion
Yongsheng Yu, Libo Zhang, Heng Fan +1
Image inpainting seeks a semantically consistent way to recover the corrupted image in the light of its unmasked content. Previous approaches usually reuse the well-trained GAN as…
Divert More Attention to Vision-Language Tracking
Mingzhe Guo, Zhipeng Zhang, Heng Fan +1
Relying on Transformer for complex visual feature learning, object tracking has witnessed the new standard for state-of-the-arts (SOTAs). However, this advancement accompanies by l…
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Heng Fan, Xue Mei, Danil Prokhorov +1
Context in image is crucial for scene labeling while existing methods only exploit local context generated from a small surrounding area of an image patch or a pixel, by contrast l…