activity
20182022
most citedST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos

28 citations · 83 across the 10 of their papers we have counts for

collaborators

21 papers

cs.CL20223 cited

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Devamanyu Hazarika, Yingting Li, Bo Cheng +3

Building robust multimodal models are crucial for achieving reliable deployment in the wild. Despite its importance, less attention has been paid to identifying and improving the r…

cs.CL20221 cited

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan +2

Automatic transfer of text between domains has become popular in recent times. One of its aims is to preserve the semantic content of text being translated from source to target do…

cs.CV2022

Mix-up Self-Supervised Learning for Contrast-agnostic Applications

Yichen Zhang, Yifang Yin, Ying Zhang +1

Contrastive self-supervised learning has attracted significant research attention recently. It learns effective visual representations from unlabeled data by embedding augmented vi…

cs.CV20212 cited

Recovering the Unbiased Scene Graphs from the Biased Ones

Meng-Jiun Chiou, Henghui Ding, Hanshu Yan +3

Given input images, scene graph generation (SGG) aims to produce comprehensive, graphical representations describing visual relationships among salient objects. Recently, more effo…

cs.CV202128 cited

ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos

Meng-Jiun Chiou, Chun-Yu Liao, Li-Wei Wang +2

Detecting human-object interactions (HOI) is an important step toward a comprehensive visual understanding of machines. While detecting non-temporal HOIs (e.g., sitting on a chair)…

cs.CL20203 cited

Towards Modelling Coherence in Spoken Discourse

Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah +2

While there has been significant progress towards modelling coherence in written discourse, the work in modelling spoken discourse coherence has been quite limited. Unlike the cohe…