activity
20122023
most citedHierarchical LSTM with Adjusted Temporal Attention for Video Captioning

36 citations · 99 across the 7 of their papers we have counts for

collaborators

7 papers

physics.ins-det2023★ 22 cited

NvDEx-100 Conceptual Design Report

X. Cao, Y. Chang, K. Chen +34

Observing nuclear neutrinoless double beta (0vbb) decay would be a revolutionary result in particle physics. Observing such a decay would prove that the neutrinos are their own ant…

cs.CV2019

One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network

Tao He, Yuan-Fang Li, Lianli Gao +2

With the recent explosive increase of digital data, image recognition and retrieval become a critical practical application. Hashing is an effective solution to this problem, due t…

cs.CL2018★ 10 cited

Translating a Math Word Problem to an Expression Tree

Lei Wang, Yan Wang, Deng Cai +2

Sequence-to-sequence (SEQ2SEQ) models have been successfully applied to automatic math word problem solving. Despite its simplicity, a drawback still remains: a math word problem c…

physics.ins-det2018★ 4 cited

Beyond the limit of the least squares resolution and the lucky model

Gregorio Landi, Giovanni E. Landi

A very simple Gaussian model is used to illustrate a new fitting result: a linear growth of the resolution with the number N of detecting layers. This rule is well beyond the well-…

cs.CV2017★ 3 cited

Towards Automatic Construction of Diverse, High-quality Image Dataset

Yazhou Yao, Jian Zhang, Fumin Shen +4

The availability of labeled image datasets has been shown critical for high-level image understanding, which continuously drives the progress of feature designing and models develo…

cs.CV2017★ 36 cited

Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning

Jingkuan Song, Zhao Guo, Lianli Gao +3

Recent progress has been made in using attention based encoder-decoder framework for video captioning. However, most existing decoders apply the attention mechanism to every genera…

cs.DB2012★ 24 cited

Efficient Spatial Keyword Search in Trajectory Databases

Gao Cong, Hua Lu, Beng Chin Ooi +2

An increasing amount of trajectory data is being annotated with text descriptions to better capture the semantics associated with locations. The fusion of spatial locations and tex…