activity
20182026
most citedDeep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval

4 citations · 14 across the 20 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.SD2023★ 1 cited

Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval

Donghuo Zeng, Kazushi Ikeda

The cross-modal retrieval model leverages the potential of triple loss optimization to learn robust embedding spaces. However, existing methods often train these models in a singul…

cs.CV2023

VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning

Yanan Wang, Donghuo Zeng, Shinya Wada +1

Multimodal transfer learning aims to transform pretrained representations of diverse modalities into a common domain space for effective multimodal fusion. However, conventional sy…

cs.MM2023

TV-watching partner robot: Analysis of User's Experience

Donghuo Zeng, Jianming Wu, Gen Hattori +1

Watching TV not only provides news information but also gives an opportunity for different generations to communicate. With the proliferation of smartphones, PC, and the Internet,…

cs.CL2023

Topic-switch adapted Japanese Dialogue System based on PLATO-2

Donghuo Zeng, Jianming Wu, Yanan Wang +3

Large-scale open-domain dialogue systems such as PLATO-2 have achieved state-of-the-art scores in both English and Chinese. However, little work explores whether such dialogue syst…

cs.CV2023★ 2 cited

Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines

Monisha Singh, Ximi Hoque, Donghuo Zeng +3

The degree of concentration, enthusiasm, optimism, and passion displayed by individual(s) while interacting with a machine is referred to as `user engagement'. Engagement comprises…