Schwing, Alexander

36 publications

ICCV 2025 Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework Yi-Ting Chen, Ting-Hsuan Liao, Pengsheng Guo, Alexander Schwing, Jia-Bin Huang

CVPR 2025 MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander Schwing, Yuki Mitsufuji

CVPR 2025 MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views in 2 Seconds Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander Schwing, Zhicheng Yan

CVPR 2025 RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations Savya Khosla, T V Sethuraman, Alexander Schwing, Derek Hoiem

ICCV 2025 The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation Ho Kei Cheng, Alexander Schwing

CVPR 2024 NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay, Stan Birchfield, Alexander Schwing

CVPR 2024 Putting the Object Back into Video Object Segmentation Ho Kei Cheng, Seoung Wug Oh, Brian Price, Joon-Young Lee, Alexander Schwing

ICCV 2023 Tracking Anything with Decoupled Video Segmentation Ho Kei Cheng, Seoung Wug Oh, Brian Price, Alexander Schwing, Joon-Young Lee

AISTATS 2022 Equivariance Discovery by Learned Parameter-Sharing Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander Schwing

ICML 2022 Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander Schwing

ICML 2021 Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu, Unnat Jain, Raymond A Yeh, Alexander Schwing

ECCV 2020 A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing

NeurIPS 2020 High-Throughput Synchronous Deep RL Iou-Jen Liu, Raymond Yeh, Alexander Schwing

NeurIPS 2020 Not All Unlabeled Data Are Equal: Learning to Weight Data in Semi-Supervised Learning Zhongzheng Ren, Raymond Yeh, Alexander Schwing

NeurIPS 2020 Removing Bias in Multi-Modal Classifiers: Regularization by Maximizing Functional Entropies Itai Gat, Idan Schwartz, Alexander Schwing, Tamir Hazan

ECCV 2020 Spatially Aware Multimodal Transformers for TextVQA Yash Kant, Dhruv Batra, Peter Anderson, Alexander Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal

NeurIPS 2020 Towards a Better Global Loss Landscape of GANs Ruoyu Sun, Tiantian Fang, Alexander Schwing

NeurIPS 2019 Chirality Nets for Human Pose Regression Raymond Yeh, Yuan-Ting Hu, Alexander Schwing

NeurIPS 2019 Co-Generation with GANs Using AIS Based HMC Tiantian Fang, Alexander Schwing

NeurIPS 2019 Graph Structured Prediction Energy Networks Colin Graber, Alexander Schwing

ICLR 2019 Knowledge Flow: Improve upon Your Teachers Iou-Jen Liu, Jian Peng, Alexander Schwing

NeurIPS 2019 TAB-VCR: Tags and Attributes Based VCR Baselines Jingxiang Lin, Unnat Jain, Alexander Schwing

NeurIPSW 2019 Unsupervised Discovery of Dynamic Neural Circuits Colin Graber, Ryan Loh, Yurii Vlasov, Alexander Schwing

NeurIPS 2018 Deep Structured Prediction with Nonlinear Output Transformations Colin Graber, Ofer Meshi, Alexander Schwing

NeurIPS 2018 GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander Schwing, Murali Annavaram, Salman Avestimehr

NeurIPS 2018 Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering Medhini Narasimhan, Svetlana Lazebnik, Alexander Schwing

NeurIPS 2018 Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander Schwing

NeurIPS 2017 Asynchronous Parallel Coordinate Minimization for MAP Inference Ofer Meshi, Alexander Schwing

NeurIPS 2017 Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space Liwei Wang, Alexander Schwing, Svetlana Lazebnik

NeurIPS 2017 Dualing GANs Yujia Li, Alexander Schwing, Kuan-Chieh Wang, Richard Zemel

NeurIPS 2017 High-Order Attention Models for Visual Question Answering Idan Schwartz, Alexander Schwing, Tamir Hazan

NeurIPS 2017 Interpretable and Globally Optimal Prediction for Textual Grounding Using Image Concepts Raymond Yeh, Jinjun Xiong, Wen-Mei Hwu, Minh Do, Alexander Schwing

NeurIPS 2017 MaskRNN: Instance Level Video Object Segmentation Yuan-Ting Hu, Jia-Bin Huang, Alexander Schwing

ICML 2016 Training Deep Neural Networks via Direct Loss Minimization Yang Song, Alexander Schwing, Richard, Raquel Urtasun

ICML 2015 Learning Deep Structured Models Liang-Chieh Chen, Alexander Schwing, Alan Yuille, Raquel Urtasun

ICML 2014 Globally Convergent Parallel MAP LP Relaxation Solver Using the Frank-Wolfe Algorithm Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun