123 citations · 646 across the 31 of their papers we have counts for
7 papers · 1 filter
Empirical Autopsy of Deep Video Captioning Frameworks
Nayyer Aafaq, Naveed Akhtar, Wei Liu +1
Contemporary deep learning based video captioning follows encoder-decoder framework. In encoder, visual features are extracted with 2D/3D Convolutional Neural Networks (CNNs) and a…
Learning Multi-level Weight-centric Features for Few-shot Learning
Mingjiang Liang, Shaoli Huang, Shirui Pan +2
Few-shot learning is currently enjoying a considerable resurgence of interest, aided by the recent advance of deep learning. Contemporary approaches based on weight-generation sche…
Vatex Video Captioning Challenge 2020: Multi-View Features and Hybrid Reward Strategies for Video Captioning
Xinxin Zhu, Longteng Guo, Peng Yao +3
This report describes our solution for the VATEX Captioning Challenge 2020, which requires generating descriptions for the videos in both English and Chinese languages. We identifi…
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…
Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
Lingxue Song, Dihong Gong, Zhifeng Li +2
Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of the face recognition research in the past years. However, existing general CNN face models generalize po…
Central Similarity Quantization for Efficient Image and Video Retrieval
Li Yuan, Tao Wang, Xiaopeng Zhang +4
Existing data-dependent hashing methods usually learn hash functions from pairwise or triplet data relationships, which only capture the data similarity locally, and often suffer f…