Liwei Wang

Orcid: 0000-0003-3264-1294

Affiliations:
  • Chinese University of Hong Kong (CUHK), Hong Kong
  • Tencent AI Lab, Bellevue, WA, USA
  • University of Illinois at Urbana Champaign, Department of Computer Science, IL, USA


According to our database1, Liwei Wang authored at least 52 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
C<sup>2</sup>LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation.
CoRR, 2024

Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding.
CoRR, 2024

Beyond Embeddings: The Promise of Visual Table in Multi-Modal Models.
CoRR, 2024

Beyond Embeddings: The Promise of Visual Table in Visual Reasoning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Enhancing Temporal Modeling of Video LLMs via Time Gating.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards Learning a Generalist Model for Embodied Navigation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Making Long-Context Language Models Better Multi-Hop Reasoners.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Conditional Temporal Variational AutoEncoder for Action Video Prediction.
Int. J. Comput. Vis., October, 2023

Fully Convolutional Networks for Panoptic Segmentation With Point-Based Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLEVA: Chinese Language Models EVAluation Platform.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learning Preference Model for LLMs via Automatic Preference Data Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Unified Mutual Supervision Framework for Referring Expression Segmentation and Generation.
CoRR, 2022

FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Voxel Field Fusion for 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Stratified Transformer for 3D Point Cloud Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-View Transformer for 3D Visual Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
SAT: 2D Semantics Assisted Training for 3D Visual Grounding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learnable Boundary Guided Adversarial Training.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Structured Instance Graph for Distilling Object Detectors.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fully Convolutional Networks for Panoptic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised 3D Mesh Reconstruction From Single Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Robust Dialogue Utterance Rewriting as Sequence Tagging.
CoRR, 2020

Comprehensive Image Captioning via Scene Graph Decomposition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving One-Stage Visual Grounding by Recursive Sub-query Construction.
Proceedings of the Computer Vision - ECCV 2020, 2020

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Learning Two-Branch Neural Networks for Image-Text Matching Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

A Fast and Accurate One-Stage Approach to Visual Grounding.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Learning joint latent representations for images and language
PhD thesis, 2018

Diverse and Controllable Image Captioning with Part-of-Speech Guidance.
CoRR, 2018

Learning structural motif representations for efficient protein structure search.
Bioinform., 2018

2017
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models.
Int. J. Comput. Vis., 2017

Learning Two-Branch Neural Networks for Image-Text Matching Tasks.
CoRR, 2017

Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Learning Deep Structure-Preserving Image-Text Embeddings.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Training Deeper Convolutional Networks with Deep Supervision.
CoRR, 2015

2014
Learning to Predict from Crowdsourced Data.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections.
Proceedings of the Computer Vision - ECCV 2014, 2014

Multi-scale Orderless Pooling of Deep Convolutional Activation Features.
Proceedings of the Computer Vision - ECCV 2014, 2014

2012
Bayesian Face Revisited: A Joint Formulation.
Proceedings of the Computer Vision - ECCV 2012, 2012

Learning sparse covariance patterns for natural scenes.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Randomness and sparsity induced codebook learning with application to cancer image classification.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Discriminative Clustering via Generative Feature Mapping.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012


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