3 citations · 7 across the 6 of their papers we have counts for
6 papers
A Tensor-based Convolutional Neural Network for Small Dataset Classification
Zhenhua Chen, David Crandall
Inspired by the ConvNets with structured hidden representations, we propose a Tensor-based Neural Network, TCNN. Different from ConvNets, TCNNs are composed of structured neurons r…
LoCoNet: Long-Short Context Network for Active Speaker Detection
Xizi Wang, Feng Cheng, Gedas Bertasius +1
Active Speaker Detection (ASD) aims to identify who is speaking in each frame of a video. ASD reasons from audio and visual information from two contexts: long-term intra-speaker c…
VindLU: A Recipe for Effective Video-and-Language Pretraining
Feng Cheng, Xizi Wang, Jie Lei +3
The last several years have witnessed remarkable progress in video-and-language (VidL) understanding. However, most modern VidL approaches use complex and specialized model archite…
Action Recognition based on Cross-Situational Action-object Statistics
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng +3
Machine learning models of visual action recognition are typically trained and tested on data from specific situations where actions are associated with certain objects. It is an o…
Controlling the Quality of Distillation in Response-Based Network Compression
Vibhas Vats, David Crandall
The performance of a distillation-based compressed network is governed by the quality of distillation. The reason for the suboptimal distillation of a large network (teacher) to a…
Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features
Xiaomeng Ye, Ziwei Zhao, David Leake +2
The case difference heuristic (CDH) approach is a knowledge-light method for learning case adaptation knowledge from the case base of a case-based reasoning system. Given a pair of…