activity
20152021
most citedCharacterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

485 citations · 666 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2021★ 1 cited

Cross-Modal Progressive Comprehension for Referring Segmentation

Si Liu, Tianrui Hui, Shaofei Huang +3

Given a natural language expression and an image/video, the goal of referring segmentation is to produce the pixel-level masks of the entities described by the subject of the expre…

cs.CV2021★ 22 cited

ORDNet: Capturing Omni-Range Dependencies for Scene Parsing

Shaofei Huang, Si Liu, Tianrui Hui +4

Learning to capture dependencies between spatial positions is essential to many visual tasks, especially the dense labeling problems like scene parsing. Existing methods can effect…

cs.CV2020★ 5 cited

Automated Model Compression by Jointly Applied Pruning and Quantization

Wenting Tang, Xingxing Wei, Bo Li

In the traditional deep compression framework, iteratively performing network pruning and quantization can reduce the model size and computation cost to meet the deployment require…

cs.CV2020★ 3 cited

Referring Image Segmentation via Cross-Modal Progressive Comprehension

Shaofei Huang, Tianrui Hui, Si Liu +5

Referring image segmentation aims at segmenting the foreground masks of the entities that can well match the description given in the natural language expression. Previous approach…

cs.CV2019★ 21 cited

A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension

Yue Liao, Si Liu, Guanbin Li +4

Referring expression comprehension aims to localize the object instance described by a natural language expression. Current referring expression methods have achieved good performa…

cs.LG2018★ 485 cited

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

Xingjun Ma, Bo Li, Yisen Wang +6

Deep Neural Networks (DNNs) have recently been shown to be vulnerable against adversarial examples, which are carefully crafted instances that can mislead DNNs to make errors durin…

cs.CV2017★ 89 cited

Too Far to See? Not Really! --- Pedestrian Detection with Scale-aware Localization Policy

Xiaowei Zhang, Li Cheng, Bo Li +1

A major bottleneck of pedestrian detection lies on the sharp performance deterioration in the presence of small-size pedestrians that are relatively far from the camera. Motivated…

cs.MM2015★ 40 cited

Region-Based Rate-Control for H.264/AVC for Low Bit-Rate Applications

Hai-Miao Hu, Bo Li, Weiyao Lin +2

Rate-control plays an important role in video coding. However, in the conventional rate-control algorithms, the number and position of Macroblocks (MBs) inside one basic unit for r…