Roger Zimmermann

research

∙ 09/13/2023

Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization

The self-media era provides us tremendous high quality videos. Unfortuna...

0 Zhenguang Liu, et al. ∙

research

∙ 09/03/2023

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects

Instant delivery services, such as food delivery and package delivery, h...

0 Haomin Wen, et al. ∙

research

∙ 08/26/2023

SOGDet: Semantic-Occupancy Guided Multi-view 3D Object Detection

In the field of autonomous driving, accurate and comprehensive perceptio...

0 Qiu Zhou, et al. ∙

research

∙ 08/19/2023

Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection

Early detection of dysplasia of the cervix is critical for cervical canc...

0 Yichen Zhang, et al. ∙

research

∙ 07/28/2023

Panoptic Scene Graph Generation with Semantics-prototype Learning

Panoptic Scene Graph Generation (PSG) parses objects and predicts their ...

0 Li Li, et al. ∙

research

∙ 07/07/2023

Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery

Street-view imagery provides us with novel experiences to explore differ...

0 Wenmiao Hu, et al. ∙

research

∙ 06/19/2023

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry

Real-world last-mile delivery datasets are crucial for research in logis...

0 Lixia Wu, et al. ∙

research

∙ 06/14/2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting

Traffic forecasting plays a critical role in smart city initiatives and ...

0 Xu Liu, et al. ∙

research

∙ 05/30/2023

Graph Neural Processes for Spatio-Temporal Extrapolation

We study the task of spatio-temporal extrapolation that generates data a...

0 Junfeng Hu, et al. ∙

research

∙ 03/24/2023

XGC-VQA: A unified video quality assessment model for User, Professionally, and Occupationally-Generated Content

With the rapid growth of Internet video data amounts and types, a unifie...

0 Xinhui Huang, et al. ∙

research

∙ 03/17/2023

A real-time blind quality-of-experience assessment metric for HTTP adaptive streaming

In today's Internet, HTTP Adaptive Streaming (HAS) is the mainstream sta...

0 Chunyi Li, et al. ∙

research

∙ 01/31/2023

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models

Spatio-temporal graph neural networks (STGNN) have emerged as the domina...

0 Haomin Wen, et al. ∙

research

∙ 01/30/2023

Do We Really Need Graph Neural Networks for Traffic Forecasting?

Spatio-temporal graph neural networks (STGNN) have become the most popul...

0 Xu Liu, et al. ∙

research

∙ 11/29/2022

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Air pollution is a crucial issue affecting human health and livelihoods,...

0 Yuxuan Liang, et al. ∙

research

∙ 05/30/2022

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Building robust multimodal models are crucial for achieving reliable dep...

6 Devamanyu Hazarika, et al. ∙

research

∙ 05/09/2022

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer

Automatic transfer of text between domains has become popular in recent ...

0 Abhinav Ramesh Kashyap, et al. ∙

research

∙ 04/02/2022

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

Contrastive self-supervised learning has attracted significant research ...

0 Yichen Zhang, et al. ∙

research

∙ 12/09/2021

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition

While transformers have shown great potential on video recognition tasks...

0 Yuxuan Liang, et al. ∙

research

∙ 09/16/2021

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference

Sensors are the key to sensing the environment and imparting benefits to...

0 Junfeng Hu, et al. ∙

research

∙ 08/26/2021

Spatio-Temporal Graph Contrastive Learning

Deep learning models are modern tools for spatio-temporal graph (STG) fo...

0 Xu Liu, et al. ∙

research

∙ 07/05/2021

Recovering the Unbiased Scene Graphs from the Biased Ones

Given input images, scene graph generation (SGG) aims to produce compreh...

9 Meng-Jiun Chiou, et al. ∙

research

∙ 05/25/2021

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

Detecting human-object interactions (HOI) is an important step toward a ...

6 Meng-Jiun Chiou, et al. ∙

research

∙ 12/31/2020

Towards Modelling Coherence in Spoken Discourse

While there has been significant progress towards modelling coherence in...

5 Rajaswa Patil, et al. ∙

research

∙ 12/21/2020

Get It Scored Using AutoSAS – An Automated System for Scoring Short Answers

In the era of MOOCs, online exams are taken by millions of candidates, w...

7 Yaman Kumar, et al. ∙

research

∙ 10/30/2020

LIFI: Towards Linguistically Informed Frame Interpolation

In this work, we explore a new problem of frame interpolation for speech...

12 Aradhya Neeraj Mathur, et al. ∙

research

∙ 10/23/2020

Domain Divergences: a Survey and Empirical Analysis

Domain divergence plays a significant role in estimating the performance...

0 Abhinav Ramesh Kashyap, et al. ∙

research

∙ 09/10/2020

RVL-BERT: Visual Relationship Detection with Visual-Linguistic Knowledge from Pre-trained Representations

Visual relationship detection aims to reason over relationships among sa...

16 Meng-Jiun Chiou, et al. ∙

research

∙ 08/25/2020

Towards Comprehensive Recommender Systems: Time-Aware UnifiedcRecommendations Based on Listwise Ranking of Implicit Cross-Network Data

The abundance of information in web applications make recommendation ess...

0 Dilruk Perera, et al. ∙

research

∙ 08/25/2020

Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations

The overwhelming volume and complexity of information in online applicat...

0 Dilruk Perera, et al. ∙

research

∙ 08/25/2020

LSTM Networks for Online Cross-Network Recommendations

Cross-network recommender systems use auxiliary information from multipl...

0 Dilruk Perera, et al. ∙

research

∙ 08/25/2020

CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users

A major drawback of cross-network recommender solutions is that they can...

0 Dilruk Perera, et al. ∙

research

∙ 08/06/2020

Zero-Shot Multi-View Indoor Localization via Graph Location Networks

Indoor localization is a fundamental problem in location-based applicati...

2 Meng-Jiun Chiou, et al. ∙

research

∙ 06/12/2020

"Notic My Speech" – Blending Speech Patterns With Multimedia

Speech as a natural signal is composed of three parts - visemes (visual ...

0 Dhruva Sahrawat, et al. ∙

research

∙ 05/07/2020

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

Multimodal Sentiment Analysis is an active area of research that leverag...

0 Devamanyu Hazarika, et al. ∙

research

∙ 11/04/2019

Learning based Methods for Code Runtime Complexity Prediction

Predicting the runtime complexity of a programming code is an arduous ta...

0 Jagriti Sikka, et al. ∙

research

∙ 10/19/2019

Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings

In this paper, we formulate keyphrase extraction from scholarly articles...

0 Dhruva Sahrawat, et al. ∙

research

∙ 10/11/2019

Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling

Recognizing emotions in conversations is a challenging task due to the p...

0 Devamanyu Hazarika, et al. ∙

research

∙ 06/28/2019

Lipper: Synthesizing Thy Speech using Multi-View Lipreading

Lipreading has a lot of potential applications such as in the domain of ...

0 Yaman Kumar, et al. ∙

research

∙ 06/05/2019

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

Sarcasm is often expressed through several verbal and non-verbal cues, e...

4 Santiago Castro, et al. ∙

research

∙ 12/02/2018

Kiki Kills: Identifying Dangerous Challenge Videos from Social Media

There has been upsurge in the number of people participating in challeng...

0 Nupur Baghel, et al. ∙

research

∙ 09/23/2018

Mind Your Language: Abuse and Offense Detection for Code-Switched Languages

In multilingual societies like the Indian subcontinent, use of code-swit...

0 Raghav Kapoor, et al. ∙

research

∙ 07/16/2018

Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings

Keyword extraction is a fundamental task in natural language processing ...

0 Debanjan Mahata, et al. ∙

research

∙ 07/16/2018

A Multimodal Approach to Predict Social Media Popularity

Multiple modalities represent different aspects by which information is ...

0 Mayank Meghawat, et al. ∙

research

∙ 05/16/2018

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums

The literature in automated sarcasm detection has mainly focused on lexi...

0 Devamanyu Hazarika, et al. ∙

Roger Zimmermann

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