244 citations · 338 across the 11 of their papers we have counts for
12 papers
Speech Block Influence: Component-Specific Layer Scoring for Pruning Speech LLMs
Siyu Yao, Du Q. Huynh, Lian Xu +1
Speech LLMs are costly to deploy in resource-constrained settings. Layer pruning can cut this cost, but existing scoring metrics transfer poorly to speech LLMs: they assume a decod…
#REVAL: a semantic evaluation framework for hashtag recommendation
Areej Alsini, Du Q. Huynh, Amitava Datta
Automatic evaluation of hashtag recommendation models is a fundamental task in many online social network systems. In the traditional evaluation method, the recommended hashtags fr…
Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints
Hao Xue, Du Q. Huynh, Mark Reynolds
Pedestrian trajectory prediction is valuable for understanding human motion behaviors and it is challenging because of the social influence from other pedestrians, the scene constr…
Hit ratio: An Evaluation Metric for Hashtag Recommendation
Areej Alsini, Du Q. Huynh, Amitava Datta
Hashtag recommendation is a crucial task, especially with an increase of interest in using social media platforms such as Twitter in the last decade. Hashtag recommendation systems…
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories
Hao Xue, Du. Q. Huynh, Mark Reynolds
Pedestrian trajectory prediction is a challenging task as there are three properties of human movement behaviors which need to be addressed, namely, the social influence from other…
Loss Switching Fusion with Similarity Search for Video Classification
Lei Wang, Du Q. Huynh, Moussa Reda Mansour
From video streaming to security and surveillance applications, video data play an important role in our daily living today. However, managing a large amount of video data and retr…
A Comparative Review of Recent Kinect-based Action Recognition Algorithms
Lei Wang, Du Q. Huynh, Piotr Koniusz
Video-based human action recognition is currently one of the most active research areas in computer vision. Various research studies indicate that the performance of action recogni…
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs
Lei Wang, Piotr Koniusz, Du Q. Huynh
In this paper, we revive the use of old-fashioned handcrafted video representations for action recognition and put new life into these techniques via a CNN-based hallucination step…
Quantum algorithm for visual tracking
Chao-Hua Yu, Fei Gao, Chenghuan Liu +3
Visual tracking (VT) is the process of locating a moving object of interest in a video. It is a fundamental problem in computer vision, with various applications in human-computer…
Action Classification with Locality-constrained Linear Coding
Hossein Rahmani, Arif Mahmood, Du Huynh +1
We propose an action classification algorithm which uses Locality-constrained Linear Coding (LLC) to capture discriminative information of human body variations in each spatiotempo…
HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition
Hossein Rahmani, Arif Mahmood, Du Q. Huynh +1
Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which change significantly with viewpoint. In co…
Histogram of Oriented Principal Components for Cross-View Action Recognition
Hossein Rahmani, Arif Mahmood, Du Huynh +1
Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which are viewpoint dependent. In contrast, we d…