Search Results for author: Ziwei Xu

Found 12 papers, 3 papers with code

iLab at FinCausal 2022: Enhancing Causality Detection with an External Cause-Effect Knowledge Graph

no code implementations FNP (LREC) 2022 Ziwei Xu, Rungsiman Nararatwong, Natthawut Kertkeidkachorn, Ryutaro Ichise

The application of span detection grows fast along with the increasing need of understanding the causes and effects of events, especially in the finance domain.

graph construction Graph Embedding

Bridging the Intent Gap: Knowledge-Enhanced Visual Generation

no code implementations21 May 2024 Yi Cheng, Ziwei Xu, Dongyun Lin, Harry Cheng, Yongkang Wong, Ying Sun, Joo Hwee Lim, Mohan Kankanhalli

To address these challenges, we propose a knowledge-enhanced iterative refinement framework for visual content generation.

World Knowledge

Hallucination is Inevitable: An Innate Limitation of Large Language Models

no code implementations22 Jan 2024 Ziwei Xu, Sanjay Jain, Mohan Kankanhalli

Since the formal world is a part of the real world which is much more complicated, hallucinations are also inevitable for real world LLMs.

Hallucination Learning Theory

Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness

no code implementations CVPR 2024 Guangzhi Wang, Yangyang Guo, Ziwei Xu, Mohan Kankanhalli

Human-Object Interaction (HOI) Detection constitutes an important aspect of human-centric scene understanding which requires precise object detection and interaction recognition.

Human-Object Interaction Detection object-detection +2

A Study on Differentiable Logic and LLMs for EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2023

no code implementations13 Jul 2023 Yi Cheng, Ziwei Xu, Fen Fang, Dongyun Lin, Hehe Fan, Yongkang Wong, Ying Sun, Mohan Kankanhalli

Our research focuses on the innovative application of a differentiable logic loss in the training to leverage the co-occurrence relations between verb and noun, as well as the pre-trained Large Language Models (LLMs) to generate the logic rules for the adaptation to unseen action labels.

Action Recognition Unsupervised Domain Adaptation

DA$^2$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping

no code implementations31 Jul 2022 Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang

In this paper, we introduce DA$^2$, the first large-scale dual-arm dexterity-aware dataset for the generation of optimal bimanual grasping pairs for arbitrary large objects.

Unsupervised Motion Representation Learning with Capsule Autoencoders

1 code implementation NeurIPS 2021 Ziwei Xu, Xudong Shen, Yongkang Wong, Mohan S Kankanhalli

We propose the Motion Capsule Autoencoder (MCAE), which addresses a key challenge in the unsupervised learning of motion representations: transformation invariance.

Action Recognition Representation Learning +2

Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition

1 code implementation10 Aug 2021 Ziwei Xu, Guangzhi Wang, Yongkang Wong, Mohan Kankanhalli

The concept module generates semantically meaningful features for primitive concepts, whereas the visual module extracts visual features for attributes and objects from input images.

Attribute Blocking +2

GradMix: Multi-source Transfer across Domains and Tasks

no code implementations9 Feb 2020 Junnan Li, Ziwei Xu, Yongkang Wong, Qi Zhao, Mohan Kankanhalli

Therefore, it is important to develop algorithms that can leverage off-the-shelf labeled dataset to learn useful knowledge for the target task.

Action Recognition Meta-Learning +1

Embedding Symbolic Knowledge into Deep Networks

1 code implementation NeurIPS 2019 Yaqi Xie, Ziwei Xu, Mohan S. Kankanhalli, Kuldeep S. Meel, Harold Soh

Interestingly, we observe a connection between the tractability of the propositional theory representation and the ease of embedding.

Graph Embedding Representation Learning

Comparing of Term Clustering Frameworks for Modular Ontology Learning

no code implementations25 Jan 2019 Ziwei Xu, Mounira Harzallah, Fabrice Guillet

The construction of this co-occurrence matrix from context helps to build feature space of noun phrases, which is then transformed to several encoding representations including feature selection and dimensionality reduction.

Clustering Dimensionality Reduction +3

Utilizing High-level Visual Feature for Indoor Shopping Mall Navigation

no code implementations6 Oct 2016 Ziwei Xu, Haitian Zheng, Minjian Pang, Yangchun Zhu, Xiongfei Su, Guyue Zhou, Lu Fang

Towards robust and convenient indoor shopping mall navigation, we propose a novel learning-based scheme to utilize the high-level visual information from the storefront images captured by personal devices of users.

Visual Navigation Vocal Bursts Intensity Prediction

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