8 citations · 21 across the 7 of their papers we have counts for
8 papers
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
Xinmiao Lin, Yikang Li, Jenhao Hsiao +2
The popular VQ-VAE models reconstruct images through learning a discrete codebook but suffer from a significant issue in the rapid quality degradation of image reconstruction as th…
VideoXum: Cross-modal Visual and Textural Summarization of Videos
Jingyang Lin, Hang Hua, Ming Chen +4
Video summarization aims to distill the most important information from a source video to produce either an abridged clip or a textual narrative. Traditionally, different methods h…
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features
Shichao Xu, Yikang Li, Jenhao Hsiao +2
In computer vision, multi-label recognition are important tasks with many real-world applications, but classifying previously unseen labels remains a significant challenge. In this…
Recognizing Video Events with Varying Rhythms
Yikang Li, Tianshu Yu, Baoxin Li
Recognizing Video events in long, complex videos with multiple sub-activities has received persistent attention recently. This task is more challenging than traditional action reco…
Plan-Recognition-Driven Attention Modeling for Visual Recognition
Yantian Zha, Yikang Li, Tianshu Yu +2
Human visual recognition of activities or external agents involves an interplay between high-level plan recognition and low-level perception. Given that, a natural question to ask…
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval
Pak Lun Kevin Ding, Yikang Li, Baoxin Li
The research on hashing techniques for visual data is gaining increased attention in recent years due to the need for compact representations supporting efficient search/retrieval…
Training Neural Networks by Using Power Linear Units (PoLUs)
Yikang Li, Pak Lun Kevin Ding, Baoxin Li
In this paper, we introduce "Power Linear Unit" (PoLU) which increases the nonlinearity capacity of a neural network and thus helps improving its performance. PoLU adopts several a…
Recognizing Plans by Learning Embeddings from Observed Action Distributions
Yantian Zha, Yikang Li, Sriram Gopalakrishnan +2
Recent advances in visual activity recognition have raised the possibility of applications such as automated video surveillance. Effective approaches for such problems however requ…