output
20062024
most citedStatistical physics of human cooperation

1.6k citations

Showing 2017 · cs.CVShow all

9 papers · 2 filters

cs.CV201716 cited

Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning

Qi Wu, Peng Wang, Chunhua Shen +2

The Visual Dialogue task requires an agent to engage in a conversation about an image with a human. It represents an extension of the Visual Question Answering task in that the age…

cs.CV20176 cited

Tracking Persons-of-Interest via Unsupervised Representation Adaptation

Shun Zhang, Jia-Bin Huang, Jongwoo Lim +4

Multi-face tracking in unconstrained videos is a challenging problem as faces of one person often appear drastically different in multiple shots due to significant variations in sc…

cs.CV20172 cited

Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction

Yanwei Pang, Bo Zhou, Feiping Nie

Explicitly or implicitly, most of dimensionality reduction methods need to determine which samples are neighbors and the similarity between the neighbors in the original highdimens…

cs.CV201741 cited

Deep Binary Reconstruction for Cross-modal Hashing

Xuelong Li, Di Hu, Feiping Nie

With the increasing demand of massive multimodal data storage and organization, cross-modal retrieval based on hashing technique has drawn much attention nowadays. It takes the bin…

cs.CV20173 cited

Kinship Verification from Videos using Spatio-Temporal Texture Features and Deep Learning

Elhocine Boutellaa, Miguel Bordallo López, Samy Ait-Aoudia +2

Automatic kinship verification using facial images is a relatively new and challenging research problem in computer vision. It consists in automatically predicting whether two pers…

cs.CV20178 cited

Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum Inference

Bo Li, Yuchao Dai, Mingyi He

Monocular depth estimation is a challenging task in complex compositions depicting multiple objects of diverse scales. Albeit the recent great progress thanks to the deep convoluti…