471 citations · 3.1k across the 59 of their papers we have counts for
11 papers · 1 filter
A Real-time Global Inference Network for One-stage Referring Expression Comprehension
Yiyi Zhou, Rongrong Ji, Gen Luo +5
Referring Expression Comprehension (REC) is an emerging research spot in computer vision, which refers to detecting the target region in an image given an text description. Most ex…
Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization
Qiaokang Xie, Wengang Zhou, Guo-Jun Qi +2
Existing methods for person re-identification (Re-ID) are mostly based on supervised learning which requires numerous manually labeled samples across all camera views for training.…
Adaptive Graph Representation Learning for Video Person Re-identification
Yiming Wu, Omar El Farouk Bourahla, Xi Li +3
Recent years have witnessed the remarkable progress of applying deep learning models in video person re-identification (Re-ID). A key factor for video person Re-ID is to effectivel…
Multimodal Unified Attention Networks for Vision-and-Language Interactions
Zhou Yu, Yuhao Cui, Jun Yu +2
Learning an effective attention mechanism for multimodal data is important in many vision-and-language tasks that require a synergic understanding of both the visual and textual co…
Harmonized Multimodal Learning with Gaussian Process Latent Variable Models
Guoli Song, Shuhui Wang, Qingming Huang +1
Multimodal learning aims to discover the relationship between multiple modalities. It has become an important research topic due to extensive multimodal applications such as cross-…
Deep Modular Co-Attention Networks for Visual Question Answering
Zhou Yu, Jun Yu, Yuhao Cui +2
Visual Question Answering (VQA) requires a fine-grained and simultaneous understanding of both the visual content of images and the textual content of questions. Therefore, designi…
Information Competing Process for Learning Diversified Representations
Jie Hu, Rongrong Ji, ShengChuan Zhang +4
Learning representations with diversified information remains as an open problem. Towards learning diversified representations, a new approach, termed Information Competing Process…
Efficient Discrete Supervised Hashing for Large-scale Cross-modal Retrieval
Tao Yao, Xiangwei Kong, Lianshan Yan +2
Supervised cross-modal hashing has gained increasing research interest on large-scale retrieval task owning to its satisfactory performance and efficiency. However, it still has so…
Multinomial Distribution Learning for Effective Neural Architecture Search
Xiawu Zheng, Rongrong Ji, Lang Tang +3
Architectures obtained by Neural Architecture Search (NAS) have achieved highly competitive performance in various computer vision tasks. However, the prohibitive computation deman…
Hadamard Matrix Guided Online Hashing
Mingbao Lin, Rongrong Ji, Hong Liu +3
Online image hashing has attracted increasing research attention recently, which receives large-scale data in a streaming manner to update the hash functions on-the-fly. Its key ch…
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan, Song Bai, Lingxi Xie +3
In object detection, keypoint-based approaches often suffer a large number of incorrect object bounding boxes, arguably due to the lack of an additional look into the cropped regio…