51 citations · 230 across the 11 of their papers we have counts for
11 papers
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…
Recurrent Exposure Generation for Low-Light Face Detection
Jinxiu Liang, Jingwen Wang, Yuhui Quan +4
Face detection from low-light images is challenging due to limited photos and inevitable noise, which, to make the task even harder, are often spatially unevenly distributed. A nat…
Deep Bilateral Retinex for Low-Light Image Enhancement
Jinxiu Liang, Yong Xu, Yuhui Quan +3
Low-light images, i.e. the images captured in low-light conditions, suffer from very poor visibility caused by low contrast, color distortion and significant measurement noise. Low…
STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
Xu Li, Jingwen Wang, Lin Ma +4
Effective and Efficient spatio-temporal modeling is essential for action recognition. Existing methods suffer from the trade-off between model performance and model complexity. In…
Weakly-Supervised Multi-Level Attentional Reconstruction Network for Grounding Textual Queries in Videos
Yijun Song, Jingwen Wang, Lin Ma +2
The task of temporally grounding textual queries in videos is to localize one video segment that semantically corresponds to the given query. Most of the existing approaches rely o…
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…
Temporally Grounding Language Queries in Videos by Contextual Boundary-aware Prediction
Jingwen Wang, Lin Ma, Wenhao Jiang
The task of temporally grounding language queries in videos is to temporally localize the best matched video segment corresponding to a given language (sentence). It requires certa…
Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network
Bairui Wang, Lin Ma, Wei Zhang +3
In this paper, we propose to guide the video caption generation with Part-of-Speech (POS) information, based on a gated fusion of multiple representations of input videos. We const…
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan, Wenhan Yang, Wenqi Ren +3
The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…
Non-local NetVLAD Encoding for Video Classification
Yongyi Tang, Xing Zhang, Jingwen Wang +3
This paper describes our solution for the 2 YouTube-8M video understanding challenge organized by Google AI. Unlike the video recognition benchmarks, such as Kinetics a…
Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning
Jingwen Wang, Wenhao Jiang, Lin Ma +2
Dense video captioning is a newly emerging task that aims at both localizing and describing all events in a video. We identify and tackle two challenges on this task, namely, (1) h…