28 citations · 166 across the 15 of their papers we have counts for
17 papers
FLARE: A Failure-Aware Framework for Autonomous Correction and Recovery in Visual-Language Robotic Manipulation
Ganlong Zhao, Zijia Tang, Xingping Chen +3
Vision-Language-Action Models~(VLAs) have demonstrated significant promise in generalizing to complex, long-horizon robotic manipulation tasks. However, their performance remains b…
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Yi Li, Yiqun Duan, Zhanghui Kuang +3
Weakly-Supervised Semantic Segmentation (WSSS) segments objects without a heavy burden of dense annotation. While as a price, generated pseudo-masks exist obvious noisy pixels, whi…
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
Yi Li, Zhanghui Kuang, Liyang Liu +2
Most weakly supervised semantic segmentation (WSSS) methods follow the pipeline that generates pseudo-masks initially and trains the segmentation model with the pseudo-masks in ful…
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)…
Group Fisher Pruning for Practical Network Compression
Liyang Liu, Shilong Zhang, Zhanghui Kuang +7
Network compression has been widely studied since it is able to reduce the memory and computation cost during inference. However, previous methods seldom deal with complicated stru…
Spatial Dual-Modality Graph Reasoning for Key Information Extraction
Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue +2
Key information extraction from document images is of paramount importance in office automation. Conventional template matching based approaches fail to generalize well to document…
Context-Aware RCNN: A Baseline for Action Detection in Videos
Jianchao Wu, Zhanghui Kuang, Limin Wang +2
Video action detection approaches usually conduct actor-centric action recognition over RoI-pooled features following the standard pipeline of Faster-RCNN. In this work, we first e…
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin +2
The attention-based encoder-decoder framework has recently achieved impressive results for scene text recognition, and many variants have emerged with improvements in recognition q…
Geometry Normalization Networks for Accurate Scene Text Detection
Youjiang Xu, Jiaqi Duan, Zhanghui Kuang +4
Large geometry (e.g., orientation) variances are the key challenges in the scene text detection. In this work, we first conduct experiments to investigate the capacity of networks…
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
Zhanghui Kuang, Yiming Gao, Guanbin Li +4
Matching clothing images from customers and online shopping stores has rich applications in E-commerce. Existing algorithms encoded an image as a global feature vector and performe…
Data-Driven Neuron Allocation for Scale Aggregation Networks
Yi Li, Zhanghui Kuang, Yimin Chen +1
Successful visual recognition networks benefit from aggregating information spanning from a wide range of scales. Previous research has investigated information fusion of connected…
Learning Efficient Detector with Semi-supervised Adaptive Distillation
Shitao Tang, Litong Feng, Wenqi Shao +3
Knowledge Distillation (KD) has been used in image classification for model compression. However, rare studies apply this technology on single-stage object detectors. Focal loss sh…
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos
Zhaoyang Zhang, Zhanghui Kuang, Ping Luo +2
Video Analytics Software as a Service (VA SaaS) has been rapidly growing in recent years. VA SaaS is typically accessed by users using a lightweight client. Because the transmissio…
Fast Video Shot Transition Localization with Deep Structured Models
Shitao Tang, Litong Feng, Zhangkui Kuang +2
Detection of video shot transition is a crucial pre-processing step in video analysis. Previous studies are restricted on detecting sudden content changes between frames through si…
Boosting up Scene Text Detectors with Guided CNN
Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang +4
Deep CNNs have achieved great success in text detection. Most of existing methods attempt to improve accuracy with sophisticated network design, while paying less attention on spee…
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
Shuyang Sun, Zhanghui Kuang, Wanli Ouyang +2
Motion representation plays a vital role in human action recognition in videos. In this study, we introduce a novel compact motion representation for video action recognition, name…