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Song Chen

7 accepted papers

2024

DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving

AAAI 2024technical

3D object detection achieves good detection performance in autonomous driving. However, it requires substantial computational resources, which prevents its practical application. 2D object detection has less computational burden but lacks spatial and geometric information embedded in depth. Therefor…

2024

Schema Learning Corpus: Data and Annotation Focused on Complex Events

COLING 2024main

The Schema Learning Corpus (SLC) is a new linguistic resource designed to support research into the structure of complex events in multilingual, multimedia data. The SLC incorporates large volumes of background data in English, Spanish and Russian, and defines 100 complex events (CEs) across 12 doma…

Cited by 1SourcePDFScholar
2024

Spanless Event Annotation for Corpus-Wide Complex Event Understanding

COLING 2024main

We present a new approach to event annotation designed to promote whole-corpus understanding of complex events in multilingual, multimedia data as part of the DARPA Knowledge-directed Artificial Intelligence Reasoning Over Schemas (KAIROS) Program. KAIROS aims to build technology capable of reasonin…

Cited by 0SourcePDFScholar
2023

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models

NeurIPS 2023poster

Human-object interaction (HOI) detection aims to comprehend the intricate relationships between humans and objects, predicting <human, action, object> triplets, and serving as the foundation for numerous computer vision tasks. The complexity and diversity of human-object interactions in the real wor…

2022

Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors

ACL 2022findings

Multimodal sentiment analysis has attracted increasing attention and lots of models have been proposed. However, the performance of the state-of-the-art models decreases sharply when they are deployed in the real world. We find that the main reason is that real-world applications can only access the…