163 citations · 1.2k across the 51 of their papers we have counts for
14 papers · 1 filter
SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization
Chen Tang, Kai Ouyang, Zenghao Chai +4
Mixed-precision quantization (MPQ) suffers from the time-consuming process of searching the optimal bit-width allocation i.e., the policy) for each layer, especially when using lar…
Fully Self-Supervised Learning for Semantic Segmentation
Yuan Wang, Wei Zhuo, Yucong Li +3
In this work, we present a fully self-supervised framework for semantic segmentation(FS^4). A fully bootstrapped strategy for semantic segmentation, which saves efforts for the hug…
Controllable Video Captioning with an Exemplar Sentence
Yitian Yuan, Lin Ma, Jingwen Wang +1
In this paper, we investigate a novel and challenging task, namely controllable video captioning with an exemplar sentence. Formally, given a video and a syntactically valid exempl…
Syntax Customized Video Captioning by Imitating Exemplar Sentences
Yitian Yuan, Lin Ma, Wenwu Zhu
Enhancing the diversity of sentences to describe video contents is an important problem arising in recent video captioning research. In this paper, we explore this problem from a n…
A Survey on Temporal Sentence Grounding in Videos
Xiaohan Lan, Yitian Yuan, Xin Wang +2
Temporal sentence grounding in videos(TSGV), which aims to localize one target segment from an untrimmed video with respect to a given sentence query, has drawn increasing attentio…
MetaDelta: A Meta-Learning System for Few-shot Image Classification
Yudong Chen, Chaoyu Guan, Zhikun Wei +2
Meta-learning aims at learning quickly on novel tasks with limited data by transferring generic experience learned from previous tasks. Naturally, few-shot learning has been one of…
A Closer Look at Temporal Sentence Grounding in Videos: Dataset and Metric
Yitian Yuan, Xiaohan Lan, Xin Wang +3
Temporal Sentence Grounding in Videos (TSGV), i.e., grounding a natural language sentence which indicates complex human activities in a long and untrimmed video sequence, has recei…
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
Yitian Yuan, Lin Ma, Jingwen Wang +2
Temporal sentence grounding in videos aims to detect and localize one target video segment, which semantically corresponds to a given sentence. Existing methods mainly tackle this…
Fast Hardware-Aware Neural Architecture Search
Li Lyna Zhang, Yuqing Yang, Yuhang Jiang +2
Designing accurate and efficient convolutional neural architectures for vast amount of hardware is challenging because hardware designs are complex and diverse. This paper addresse…
Sentence Specified Dynamic Video Thumbnail Generation
Yitian Yuan, Lin Ma, Wenwu Zhu
With the tremendous growth of videos over the Internet, video thumbnails, providing video content previews, are becoming increasingly crucial to influencing users' online searching…
Weakly Supervised Dense Event Captioning in Videos
Xuguang Duan, Wenbing Huang, Chuang Gan +3
Dense event captioning aims to detect and describe all events of interest contained in a video. Despite the advanced development in this area, existing methods tackle this task by…
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression
Yitian Yuan, Tao Mei, Wenwu Zhu
Given an untrimmed video and a sentence description, temporal sentence localization aims to automatically determine the start and end points of the described sentence within the vi…
Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks
Guohao Li, Hang Su, Wenwu Zhu
Visual Question Answering (VQA) has attracted much attention since it offers insight into the relationships between the multi-modal analysis of images and natural language. Most of…
Learning to Learn Image Classifiers with Visual Analogy
Linjun Zhou, Peng Cui, Shiqiang Yang +2
Humans are far better learners who can learn a new concept very fast with only a few samples compared with machines. The plausible mystery making the difference is two fundamental…