Boqing Gong
Orcid: 0000-0003-3915-5977
According to our database1,
Boqing Gong
authored at least 121 papers
between 2009 and 2024.
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024
CoRR, 2024
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise.
CoRR, 2024
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
CoRR, 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification.
CoRR, 2023
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.
CoRR, 2023
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text.
CoRR, 2021
CoRR, 2021
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training.
CoRR, 2021
CoRR, 2021
When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations.
CoRR, 2021
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019
CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
ACM Trans. Multim. Comput. Commun. Appl., 2018
IEEE Trans. Multi Scale Comput. Syst., 2018
Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions.
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect.
Proceedings of the 6th International Conference on Learning Representations, 2018
Improving Sequential Determinantal Point Processes for Supervised Video Summarization.
Proceedings of the Computer Vision - ECCV 2018, 2018
How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization.
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017
Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Weighted geodesic flow kernel for interpersonal mutual influence modeling and emotion recognition in dyadic interactions.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames.
Proceedings of the Computer Vision - ECCV 2016, 2016
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild.
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
2014
Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition.
Int. J. Comput. Vis., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011
2009
Proceedings of the 17th International Conference on Multimedia 2009, 2009
Automatic facial expression recognition on a single 3D face by exploring shape deformation.
Proceedings of the 17th International Conference on Multimedia 2009, 2009