74 citations · 128 across the 8 of their papers we have counts for
8 papers
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation
Ziqin Zhou, Bowen Zhang, Yinjie Lei +2
Recently, CLIP has been applied to pixel-level zero-shot learning tasks via a two-stage scheme. The general idea is to first generate class-agnostic region proposals and then feed…
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning
Ziqi Zhou, Li Lian, Yilong Yin +1
Network compression is crucial to making the deep networks to be more efficient, faster, and generalizable to low-end hardware. Current network compression methods have two open pr…
VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication
Pengcheng An, Ziqi Zhou, Qing Liu +4
Emoticons are indispensable in online communications. With users' growing needs for more customized and expressive emoticons, recent messaging applications begin to support (limite…
Binocular Mutual Learning for Improving Few-shot Classification
Ziqi Zhou, Xi Qiu, Jiangtao Xie +2
Most of the few-shot learning methods learn to transfer knowledge from datasets with abundant labeled data (i.e., the base set). From the perspective of class space on base set, ex…
SoT: Delving Deeper into Classification Head for Transformer
Jiangtao Xie, Ruiren Zeng, Qilong Wang +2
Transformer models are not only successful in natural language processing (NLP) but also demonstrate high potential in computer vision (CV). Despite great advance, most of works on…
InfoColorizer: Interactive Recommendation of Color Palettes for Infographics
Lin-Ping Yuan, Ziqi Zhou, Jian Zhao +3
When designing infographics, general users usually struggle with getting desired color palettes using existing infographic authoring tools, which sometimes sacrifice customizabilit…
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection
Ziqi Zhou, Zheng Wang, Huchuan Lu +2
The existing still-static deep learning based saliency researches do not consider the weighting and highlighting of extracted features from different layers, all features contribut…
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
Meijun Sun, Ziqi Zhou, QinGhua Hu +2
Data-driven saliency detection has attracted strong interest as a result of applying convolutional neural networks to the detection of eye fixations. Although a number of imagebase…