794 citations · 4.8k across the 152 of their papers we have counts for
20 papers · 1 filter
SPTS: Single-Point Text Spotting
Dezhi Peng, Xinyu Wang, Yuliang Liu +9
Existing scene text spotting (i.e., end-to-end text detection and recognition) methods rely on costly bounding box annotations (e.g., text-line, word-level, or character-level boun…
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
Yuanbo Xiangli, Linning Xu, Xingang Pan +5
Neural radiance fields (NeRF) has achieved outstanding performance in modeling 3D objects and controlled scenes, usually under a single scale. In this work, we focus on multi-scale…
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Zhaoyang Lyu, Zhifeng Kong, Xudong Xu +2
3D point cloud is an important 3D representation for capturing real world 3D objects. However, real-scanned 3D point clouds are often incomplete, and it is important to recover com…
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Tong Wu, Liang Pan, Junzhe Zhang +3
Chamfer Distance (CD) and Earth Mover's Distance (EMD) are two broadly adopted metrics for measuring the similarity between two point sets. However, CD is usually insensitive to mi…
Few-Shot Object Detection via Association and DIscrimination
Yuhang Cao, Jiaqi Wang, Ying Jin +4
Object detection has achieved substantial progress in the last decade. However, detecting novel classes with only few samples remains challenging, since deep learning under low dat…
INTERN: A New Learning Paradigm Towards General Vision
Jing Shao, Siyu Chen, Yangguang Li +24
Enormous waves of technological innovations over the past several years, marked by the advances in AI technologies, are profoundly reshaping the industry and the society. However,…
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
Xudong Xu, Xingang Pan, Dahua Lin +1
The advent of generative radiance fields has significantly promoted the development of 3D-aware image synthesis. The cumulative rendering process in radiance fields makes training…
Temporal RoI Align for Video Object Recognition
Tao Gong, Kai Chen, Xinjiang Wang +5
Video object detection is challenging in the presence of appearance deterioration in certain video frames. Therefore, it is a natural choice to aggregate temporal information from…
Towards Balanced Learning for Instance Recognition
Jiangmiao Pang, Kai Chen, Qi Li +5
Instance recognition is rapidly advanced along with the developments of various deep convolutional neural networks. Compared to the architectures of networks, the training process,…
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
Zhanghui Kuang, Hongbin Sun, Zhizhong Li +10
We present MMOCR-an open-source toolbox which provides a comprehensive pipeline for text detection and recognition, as well as their downstream tasks such as named entity recogniti…
Vision Transformer with Progressive Sampling
Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang +4
Transformers with powerful global relation modeling abilities have been introduced to fundamental computer vision tasks recently. As a typical example, the Vision Transformer (ViT)…
Probabilistic and Geometric Depth: Detecting Objects in Perspective
Tai Wang, Xinge Zhu, Jiangmiao Pang +1
3D object detection is an important capability needed in various practical applications such as driver assistance systems. Monocular 3D detection, as a representative general setti…
Transcript to Video: Efficient Clip Sequencing from Texts
Yu Xiong, Fabian Caba Heilbron, Dahua Lin
Among numerous videos shared on the web, well-edited ones always attract more attention. However, it is difficult for inexperienced users to make well-edited videos because it requ…
Scene-aware Generative Network for Human Motion Synthesis
Jingbo Wang, Sijie Yan, Bo Dai +1
We revisit human motion synthesis, a task useful in various real world applications, in this paper. Whereas a number of methods have been developed previously for this task, they a…
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection
Shijie Fang, Yuhang Cao, Xinjiang Wang +3
The performance of object detection, to a great extent, depends on the availability of large annotated datasets. To alleviate the annotation cost, the research community has explor…
Visually Informed Binaural Audio Generation without Binaural Audios
Xudong Xu, Hang Zhou, Ziwei Liu +3
Stereophonic audio, especially binaural audio, plays an essential role in immersive viewing environments. Recent research has explored generating visually guided stereophonic audio…
Revisiting Skeleton-based Action Recognition
Haodong Duan, Yue Zhao, Kai Chen +2
Human skeleton, as a compact representation of human action, has received increasing attention in recent years. Many skeleton-based action recognition methods adopt graph convoluti…
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
Tai Wang, Xinge Zhu, Jiangmiao Pang +1
Monocular 3D object detection is an important task for autonomous driving considering its advantage of low cost. It is much more challenging than conventional 2D cases due to its i…
Adversarial Robustness under Long-Tailed Distribution
Tong Wu, Ziwei Liu, Qingqiu Huang +2
Adversarial robustness has attracted extensive studies recently by revealing the vulnerability and intrinsic characteristics of deep networks. However, existing works on adversaria…
Towards Evaluating and Training Verifiably Robust Neural Networks
Zhaoyang Lyu, Minghao Guo, Tong Wu +3
Recent works have shown that interval bound propagation (IBP) can be used to train verifiably robust neural networks. Reseachers observe an intriguing phenomenon on these IBP train…