Design of Single-Group Multicasting-Beamformers. - Raphael Hunger; David A. Schmidt; Michael Joham; Alexander G. Schwing; Wolfgang Utschick (ICC, 2007)

Distributed message passing for large scale graphical models. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (CVPR, 2011)

Adaptive random forest - How many "experts" to ask before making a decision? - Alexander G. Schwing; Christopher Zach; Yefeng Zheng 001; Marc Pollefeys (CVPR, 2011)

Fully automatic segmentation of wrist bones for arthritis patients. - Martin Koch 002; Alexander G. Schwing; Dorin Comaniciu; Marc Pollefeys (ISBI, 2011)

Efficient structured prediction for 3D indoor scene understanding. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (CVPR, 2012)

Efficient Exact Inference for 3D Indoor Scene Understanding. - Alexander G. Schwing; Raquel Urtasun (ECCV (6), 2012)

Efficient Structured Prediction with Latent Variables for General Graphical Models. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (ICML, 2012)

Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (NIPS, 2012)

Box in the Box: Joint 3D Layout and Object Reasoning from Single Images. - Alexander G. Schwing; Sanja Fidler; Marc Pollefeys; Raquel Urtasun (ICCV, 2013)

Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors. - Jian Zhang 049; Chen Kan; Alexander G. Schwing; Raquel Urtasun (ICCV, 2013)

Latent Structured Active Learning. - Wenjie Luo 002; Alexander G. Schwing; Raquel Urtasun (NIPS, 2013)

Inference and learning algorithms with applications to 3D indoor scene understanding. - Alexander G. Schwing (2013)

Match Box: Indoor Image Matching via Box-Like Scene Estimation. - Filip Srajer; Alexander G. Schwing; Marc Pollefeys; Tomás Pajdla (3DV, 2014)

Computational Education using Latent Structured Prediction. - Tanja Käser; Alexander G. Schwing; Tamir Hazan; Markus H. Gross (AISTATS, 2014)

Efficient Structured Parsing of Facades Using Dynamic Programming. - Andrea Cohen; Alexander Gerhard Schwing; Marc Pollefeys (CVPR, 2014)

Tell Me What You See and I Will Show You Where It Is. - Jia Xu 011; Alexander G. Schwing; Raquel Urtasun (CVPR, 2014)

Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (ICML, 2014)

Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection. - Alexander G. Schwing; Yefeng Zheng 001 (ISBI, 2014)

Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks. - Tanja Käser; Severin Klingler; Alexander G. Schwing; Markus H. Gross (Intelligent Tutoring Systems, 2014)

Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials. - Shenlong Wang; Alexander G. Schwing; Raquel Urtasun (NIPS, 2014)

Message Passing Inference for Large Scale Graphical Models with High Order Potentials. - Jian Zhang 049; Alexander G. Schwing; Raquel Urtasun (NIPS, 2014)

Rent3D: Floor-plan priors for monocular layout estimation. - Chenxi Liu; Alexander G. Schwing; Kaustav Kundu; Raquel Urtasun; Sanja Fidler (CVPR, 2015)

Learning to segment under various forms of weak supervision. - Jia Xu 011; Alexander G. Schwing; Raquel Urtasun (CVPR, 2015)

Monocular Object Instance Segmentation and Depth Ordering with CNNs. - Ziyu Zhang; Alexander G. Schwing; Sanja Fidler; Raquel Urtasun (ICCV, 2015)

Smooth and Strong: MAP Inference with Linear Convergence. - Ofer Meshi; Mehrdad Mahdavi; Alexander G. Schwing (NIPS, 2015)

Learning Deep Structured Models. - Liang-Chieh Chen; Alexander G. Schwing; Alan L. Yuille; Raquel Urtasun (ICLR (Workshop), 2015)

Statistical Inference, Learning and Models in Big Data. - Beate Franke; Jean-François Plante; Ribana Roscher; Annie Lee; Cathal Smyth; Armin Hatefi; Fuqi Chen; Einat Gil; Alexander G. Schwing; Alessandro Selvitella; Michael M. Hoffman; Roger B. Grosse; et al. (CoRR, 2015)

Fully Connected Deep Structured Networks. - Alexander G. Schwing; Raquel Urtasun (CoRR, 2015)

Direct Loss Minimization for Training Deep Neural Nets. - Yang Song 011; Alexander G. Schwing; Richard S. Zemel; Raquel Urtasun (CoRR, 2015)

Efficient Deep Learning for Stereo Matching. - Wenjie Luo 002; Alexander G. Schwing; Raquel Urtasun (CVPR, 2016)

Training Deep Neural Networks via Direct Loss Minimization. - Yang Song 011; Alexander G. Schwing; Richard S. Zemel; Raquel Urtasun (ICML, 2016)

Learning Deep Parsimonious Representations. - Renjie Liao; Alexander G. Schwing; Richard S. Zemel; Raquel Urtasun (NIPS, 2016)

Constraints Based Convex Belief Propagation. - Yaniv Tenzer; Alexander G. Schwing; Kevin Gimpel; Tamir Hazan (NIPS, 2016)

Blending Learning and Inference in Conditional Random Fields. - Tamir Hazan; Alexander G. Schwing; Raquel Urtasun (J. Mach. Learn. Res., 2016)

Creativity: Generating Diverse Questions Using Variational Autoencoders. - Unnat Jain; Ziyu Zhang; Alexander G. Schwing (CVPR, 2017)

Semantic Image Inpainting with Deep Generative Models. - Raymond A. Yeh; Chen Chen 003; Teck-Yian Lim; Alexander G. Schwing; Mark Hasegawa-Johnson; Minh N. Do (CVPR, 2017)

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening. - Frank S. He; Yang Liu 097; Alexander G. Schwing; Jian Peng 001 (ICLR (Poster), 2017)

Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. - Liwei Wang 009; Alexander G. Schwing; Svetlana Lazebnik (NIPS, 2017)

MaskRNN: Instance Level Video Object Segmentation. - Yuan-Ting Hu; Jia-Bin Huang 001; Alexander G. Schwing (NIPS, 2017)

Dualing GANs. - Yujia Li 001; Alexander G. Schwing; Kuan-Chieh Wang; Richard S. Zemel (NIPS, 2017)

Asynchronous Parallel Coordinate Minimization for MAP Inference. - Ofer Meshi; Alexander G. Schwing (NIPS, 2017)

High-Order Attention Models for Visual Question Answering. - Idan Schwartz; Alexander G. Schwing; Tamir Hazan (NIPS, 2017)

Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts. - Raymond A. Yeh; Jinjun Xiong; Wen-Mei W. Hwu; Minh N. Do; Alexander G. Schwing (NIPS, 2017)

An Elevator Pitch on Deep Learning. - Yuan-Ting Hu; Alexander G. Schwing (GetMobile Mob. Comput. Commun., 2017)

Dynamic Bayesian Networks for Student Modeling. - Tanja Käser; Severin Klingler; Alexander G. Schwing; Markus H. Gross (IEEE Trans. Learn. Technol., 2017)

Convolutional Image Captioning. - Jyoti Aneja; Aditya Deshpande; Alexander G. Schwing (CVPR, 2018)

Generative Modeling Using the Sliced Wasserstein Distance. - Ishan Deshpande; Ziyu Zhang; Alexander G. Schwing (CVPR, 2018)

Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering. - Unnat Jain; Svetlana Lazebnik; Alexander G. Schwing (CVPR, 2018)

Unsupervised Textual Grounding: Linking Words to Image Concepts. - Raymond A. Yeh; Minh N. Do; Alexander G. Schwing (CVPR, 2018)

Diverse and Coherent Paragraph Generation from Images. - Moitreya Chatterjee; Alexander G. Schwing (ECCV (2), 2018)

Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation. - Yuan-Ting Hu; Jia-Bin Huang 001; Alexander G. Schwing (ECCV (1), 2018)

VideoMatch: Matching Based Video Object Segmentation. - Yuan-Ting Hu; Jia-Bin Huang 001; Alexander G. Schwing (ECCV (8), 2018)

Structural Consistency and Controllability for Diverse Colorization. - Safa Messaoud; David A. Forsyth; Alexander G. Schwing (ECCV (6), 2018)

Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering. - Medhini Narasimhan; Alexander G. Schwing (ECCV (8), 2018)

Image Restoration with Deep Generative Models. - Raymond A. Yeh; Teck-Yian Lim; Chen Chen 003; Alexander G. Schwing; Mark Hasegawa-Johnson; Minh N. Do (ICASSP, 2018)

Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping. - Keyi Yu; Yang Liu 097; Alexander G. Schwing; Jian Peng 001 (ICLR (Workshop), 2018)

A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks. - Youjie Li; Jongse Park; Mohammad Alian; Yifan Yuan; Zheng Qu 002; Peitian Pan; Ren Wang 001; Alexander G. Schwing; Hadi Esmaeilzadeh; Nam Sung Kim (MICRO, 2018)

Deep Structured Prediction with Nonlinear Output Transformations. - Colin Graber; Ofer Meshi; Alexander G. 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 G. Schwing (NeurIPS, 2018)

Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. - Medhini Narasimhan; Svetlana Lazebnik; Alexander G. 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 G. Schwing; Murali Annavaram; Salman Avestimehr (NeurIPS, 2018)

Diverse and Controllable Image Captioning with Part-of-Speech Guidance. - Aditya Deshpande; Jyoti Aneja; Liwei Wang 009; Alexander G. Schwing; David A. Forsyth (CoRR, 2018)

No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques. - Tanmay Gupta; Alexander G. Schwing; Derek Hoiem (CoRR, 2018)

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. - Iou-Jen Liu; Raymond A. Yeh; Alexander G. Schwing (CoRL, 2019)

Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech. - Aditya Deshpande; Jyoti Aneja; Liwei Wang 009; Alexander G. Schwing; David A. Forsyth (CVPR, 2019)

Max-Sliced Wasserstein Distance and Its Use for GANs. - Ishan Deshpande; Yuan-Ting Hu; Ruoyu Sun 001; Ayis Pyrros; Nasir Siddiqui; Sanmi Koyejo; Zhizhen Zhao 001; David A. Forsyth; Alexander G. Schwing (CVPR, 2019)

SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines. - Yuan-Ting Hu; Hong-Shuo Chen; Kexin Hui; Jia-Bin Huang 001; Alexander G. Schwing (CVPR, 2019)

Two Body Problem: Collaborative Visual Task Completion. - Unnat Jain; Luca Weihs; Eric Kolve; Mohammad Rastegari; Svetlana Lazebnik; Ali Farhadi; Alexander G. Schwing; Aniruddha Kembhavi (CVPR, 2019)

A Simple Baseline for Audio-Visual Scene-Aware Dialog. - Idan Schwartz; Alexander G. Schwing; Tamir Hazan (CVPR, 2019)

Factor Graph Attention. - Idan Schwartz; Seunghak Yu; Tamir Hazan; Alexander G. Schwing (CVPR, 2019)

Diverse Generation for Multi-Agent Sports Games. - Raymond A. Yeh; Alexander G. Schwing; Jonathan Huang; Kevin Murphy 002 (CVPR, 2019)

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. - Jyoti Aneja; Harsh Agrawal; Dhruv Batra; Alexander G. Schwing (ICCV, 2019)

ViCo: Word Embeddings From Visual Co-Occurrences. - Tanmay Gupta; Alexander G. Schwing; Derek Hoiem (ICCV, 2019)

No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques. - Tanmay Gupta; Alexander G. Schwing; Derek Hoiem (ICCV, 2019)

Knowledge Flow: Improve Upon Your Teachers. - Iou-Jen Liu; Jian Peng 001; Alexander G. Schwing (ICLR (Poster), 2019)

FMRI Data Augmentation Via Synthesis. - Peiye Zhuang; Alexander G. Schwing; Oluwasanmi Koyejo (ISBI, 2019)

Accelerating distributed reinforcement learning with in-switch computing. - Youjie Li; Iou-Jen Liu; Yifan Yuan; Deming Chen; Alexander G. Schwing; Jian Huang 006 (ISCA, 2019)

Sensor Training Data Reduction for Autonomous Vehicles. - Matthew Tomei; Alexander G. Schwing; Satish Narayanasamy; Rakesh Kumar 002 (HotEdgeVideo@MobiCom, 2019)

Distributed Estimation via Opinion Dynamics. - Noyan C. Sevüktekin; Alexander G. Schwing; Andrew C. Singer (MWSCAS, 2019)

Co-Generation with GANs using AIS based HMC. - Tiantian Fang; Alexander G. Schwing (NeurIPS, 2019)

Graph Structured Prediction Energy Networks. - Colin Graber; Alexander G. Schwing (NeurIPS, 2019)

TAB-VCR: Tags and Attributes based VCR Baselines. - Jingxiang Lin; Unnat Jain; Alexander G. Schwing (NeurIPS, 2019)

A Simple Baseline for Visual Commonsense Reasoning. - Jingxiang Lin; Unnat Jain; Alexander G. Schwing (ViGIL@NeurIPS, 2019)

Chirality Nets for Human Pose Regression. - Raymond A. Yeh; Yuan-Ting Hu; Alexander G. Schwing (NeurIPS, 2019)

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. - Gabrielle Allen; Igor Andreoni; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; Zachariah B. Etienne; Daniel George; et al. (CoRR, 2019)

Enabling real-time multi-messenger astrophysics discoveries with deep learning. - Eliu A. Huerta; Gabrielle Allen; Igor Andreoni; Javier Mauricio Antelis; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; et al. (CoRR, 2019)

Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics. - Dawit Belayneh; Federico Carminati; Amir Farbin; Benjamin Hooberman; Gulrukh Khattak; Miaoyuan Liu; Junze Liu; Dominick Olivito; Vitória Barin Pacela; Maurizio Pierini; Alexander G. Schwing; Maria Spiropulu; et al. (CoRR, 2019)

The 1st Agriculture-Vision Challenge: Methods and Results. - Mang Tik Chiu; Xingqian Xu; Kai Wang 058; Jennifer A. Hobbs; Naira Hovakimyan; Thomas S. Huang; Honghui Shi; Yunchao Wei; Zilong Huang; Alexander G. Schwing; Robert Brunner; Ivan Dozier; et al. (CVPR Workshops, 2020)

Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. - Mang Tik Chiu; Xingqian Xu; Yunchao Wei; Zilong Huang; Alexander G. Schwing; Robert Brunner; Hrant Khachatrian; Hovnatan Karapetyan; Ivan Dozier; Greg Rose; David Wilson; Adrian Tudor; et al. (CVPR, 2020)

Dynamic Neural Relational Inference for Forecasting Trajectories. - Colin Graber; Alexander G. Schwing (CVPR Workshops, 2020)

Dynamic Neural Relational Inference. - Colin Graber; Alexander G. Schwing (CVPR, 2020)

Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? - Safa Messaoud; Maghav Kumar; Alexander G. Schwing (CVPR Workshops, 2020)

Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. - Zhongzheng Ren; Zhiding Yu; Xiaodong Yang 001; Ming-Yu Liu 001; Yong Jae Lee; Alexander G. Schwing; Jan Kautz (CVPR, 2020)

Proposal-Based Video Completion. - Yuan-Ting Hu; Heng Wang; Nicolas Ballas; Kristen Grauman; Alexander G. Schwing (ECCV (27), 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 G. Schwing (ECCV (5), 2020)

Spatially Aware Multimodal Transformers for TextVQA. - Yash Kant; Dhruv Batra; Peter Anderson; Alexander G. Schwing; Devi Parikh; Jiasen Lu; Harsh Agrawal (ECCV (9), 2020)

UFO2: A Unified Framework Towards Omni-supervised Object Detection. - Zhongzheng Ren; Zhiding Yu; Xiaodong Yang 001; Ming-Yu Liu 001; Alexander G. Schwing; Jan Kautz (ECCV (19), 2020)

Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning. - Yuanyi Zhong; Alexander G. Schwing; Jian Peng 001 (ICASSP, 2020)

Towards a Better Global Loss Landscape of GANs. - Ruoyu Sun 001; Tiantian Fang; Alexander G. Schwing (NeurIPS, 2020)

Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. - Itai Gat; Idan Schwartz; Alexander G. Schwing; Tamir Hazan (NeurIPS, 2020)

High-Throughput Synchronous Deep RL. - Iou-Jen Liu; Raymond A. Yeh; Alexander G. Schwing (NeurIPS, 2020)

Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning. - Zhongzheng Ren; Raymond A. Yeh; Alexander G. Schwing (NeurIPS, 2020)

On the generalization of bayesian deep nets for multi-class classification. - Yossi Adi; Yaniv Nemcovsky; Alexander G. Schwing; Tamir Hazan (CoRR, 2020)

Bridging the Imitation Gap by Adaptive Insubordination. - Luca Weihs; Unnat Jain; Jordi Salvador; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (CoRR, 2020)

NCP-VAE: Variational Autoencoders with Noise Contrastive Priors. - Jyoti Aneja; Alexander G. Schwing; Jan Kautz; Arash Vahdat (CoRR, 2020)

UFO$^2$: A Unified Framework towards Omni-supervised Object Detection. - Zhongzheng Ren; Zhiding Yu; Xiaodong Yang 001; Ming-Yu Liu 001; Alexander G. Schwing; Jan Kautz (CoRR, 2020)

Panoptic Segmentation Forecasting. - Colin Graber; Grace Tsai; Michael Firman; Gabriel J. Brostow; Alexander G. Schwing (CVPR Workshops, 2021)

SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data. - Yuan-Ting Hu; Jiahong Wang; Raymond A. Yeh; Alexander G. Schwing (CVPR Workshops, 2021)

3D Spatial Recognition Without Spatially Labeled 3D. - Zhongzheng Ren; Ishan Misra; Alexander G. Schwing; Rohit Girdhar (CVPR, 2021)

Assignment-Space-based Multi-Object Tracking and Segmentation. - Anwesa Choudhuri; Girish Chowdhary 001; Alexander G. Schwing (ICCV, 2021)

GridToPix: Training Embodied Agents with Minimal Supervision. - Unnat Jain; Iou-Jen Liu; Svetlana Lazebnik; Aniruddha Kembhavi; Luca Weihs; Alexander G. Schwing (ICCV, 2021)

Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents. - Shivansh Patel; Saim Wani; Unnat Jain; Alexander G. Schwing; Svetlana Lazebnik; Manolis Savva; Angel X. Chang (ICCV, 2021)

The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. - Xiaoming Zhao 001; Harsh Agrawal; Dhruv Batra; Alexander G. Schwing (ICCV, 2021)

Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. - Peiye Zhuang; Oluwasanmi Koyejo; Alexander G. Schwing (ICLR, 2021)

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

Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning. - Iou-Jen Liu; Zhongzheng Ren; Raymond A. Yeh; Alexander G. Schwing (IROS, 2021)

Maya: Using Formal Control to Obfuscate Power Side Channels. - Raghavendra Pradyumna Pothukuchi; Sweta Yamini Pothukuchi; Petros G. Voulgaris; Alexander G. Schwing; Josep Torrellas (ISCA, 2021)

A Contrastive Learning Approach for Training Variational Autoencoder Priors. - Jyoti Aneja; Alexander G. Schwing; Jan Kautz; Arash Vahdat (NeurIPS, 2021)

Per-Pixel Classification is Not All You Need for Semantic Segmentation. - Bowen Cheng; Alexander G. Schwing; Alexander Kirillov (NeurIPS, 2021)

Perceptual Score: What Data Modalities Does Your Model Perceive? - Itai Gat; Idan Schwartz; Alexander G. Schwing (NeurIPS, 2021)

Class-agnostic Reconstruction of Dynamic Objects from Videos. - Zhongzheng Ren; Xiaoming Zhao 001; Alexander G. Schwing (NeurIPS, 2021)

Bridging the Imitation Gap by Adaptive Insubordination. - Luca Weihs; Unnat Jain; Iou-Jen Liu; Jordi Salvador; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (NeurIPS, 2021)

DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. - Safa Messaoud; Ismini Lourentzou; Assma Boughoula; Mona Zehni; Zhizhen Zhao 001; Chengxiang Zhai; Alexander G. Schwing (SIGIR, 2021)

Robustifying 𝓁∞ Adversarial Training to the Union of Perturbation Models. - Ameya D. Patil; Michael Tuttle; Alexander G. Schwing; Naresh R. Shanbhag (CoRR, 2021)

Towards Coherent Visual Storytelling with Ordered Image Attention. - Tom Braude; Idan Schwartz; Alexander G. Schwing; Ariel Shamir (CoRR, 2021)

CoVA: Context-aware Visual Attention for Webpage Information Extraction. - Anurendra Kumar; Keval Morabia; Jingjin Wang; Kevin Chen-Chuan Chang; Alexander G. Schwing (CoRR, 2021)

Mask2Former for Video Instance Segmentation. - Bowen Cheng; Anwesa Choudhuri; Ishan Misra; Alexander Kirillov; Rohit Girdhar; Alexander G. Schwing (CoRR, 2021)

FuseRec: fusing user and item homophily modeling with temporal recommender systems. - Kanika Narang; Yitong Song; Alexander G. Schwing; Hari Sundaram (Data Min. Knowl. Discov., 2021)

Controllable Radiance Fields for Dynamic Face Synthesis. - Peiye Zhuang; Liqian Ma; Sanmi Koyejo; Alexander G. Schwing (3DV, 2022)

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. - Revanth Gangi Reddy; Xilin Rui; Manling Li; Xudong Lin 003; Haoyang Wen; Jaemin Cho 001; Lifu Huang; Mohit Bansal; Avirup Sil; Shih-Fu Chang; Alexander G. Schwing; Heng Ji 001 (AAAI, 2022)

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

Masked-attention Mask Transformer for Universal Image Segmentation. - Bowen Cheng; Ishan Misra; Alexander G. Schwing; Alexander Kirillov; Rohit Girdhar (CVPR, 2022)

Joint Forecasting of Panoptic Segmentations with Difference Attention. - Colin Graber; Cyril Jazra; Wenjie Luo 002; Liangyan Gui; Alexander G. Schwing (CVPR Workshops, 2022)

Neural Volumetric Object Selection. - Zhongzheng Ren; Aseem Agarwala; Bryan C. Russell; Alexander G. Schwing; Oliver Wang (CVPR, 2022)

Total Variation Optimization Layers for Computer Vision. - Raymond A. Yeh; Yuan-Ting Hu; Zhongzheng Ren; Alexander G. Schwing (CVPR, 2022)

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model. - Ho Kei Cheng; Alexander G. Schwing (ECCV (28), 2022)

Generative Multiplane Images: Making a 2D GAN 3D-Aware. - Xiaoming Zhao 001; Fangchang Ma; David Güera; Zhile Ren; Alexander G. Schwing; Alex Colburn (ECCV (5), 2022)

Initialization and Alignment for Adversarial Texture Optimization. - Xiaoming Zhao 001; Zhizhen Zhao 001; Alexander G. Schwing (ECCV Workshops (3), 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 G. Schwing (ICML, 2022)

Ordered Attention for Coherent Visual Storytelling. - Tom Braude; Idan Schwartz; Alexander G. Schwing; Ariel Shamir (ACM Multimedia, 2022)

DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data. - Tiantian Fang; Ruoyu Sun 001; Alexander G. Schwing (NeurIPS, 2022)

On the Importance of Gradient Norm in PAC-Bayesian Bounds. - Itai Gat; Yossi Adi; Alexander G. Schwing; Tamir Hazan (NeurIPS, 2022)

Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks. - Renan A. Rojas-Gomez; Teck-Yian Lim; Alexander G. Schwing; Minh N. Do; Raymond A. Yeh (NeurIPS, 2022)

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. - Kai Yan; Alexander G. Schwing; Yu-Xiong Wang (NeurIPS, 2022)

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

Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. - Klara Nahrstedt; Naresh R. Shanbhag; Vikram S. Adve; Nancy M. Amato; Romit Roy Choudhury; Carl A. Gunter; Nam Sung Kim; Olgica Milenkovic; Sayan Mitra; Lav R. Varshney; Yurii Vlasov; Sarita V. Adve; et al. (CoRR, 2022)

Occupancy Planes for Single-View RGB-D Human Reconstruction. - Xiaoming Zhao 001; Yuan-Ting Hu; Zhongzheng Ren; Alexander G. Schwing (AAAI, 2023)

AutoFocusFormer: Image Segmentation off the Grid. - Ziwen Chen; Kaushik Patnaik; Shuangfei Zhai; Alvin Wan; Zhile Ren; Alexander G. Schwing; Alex Colburn; Fuxin Li (CVPR, 2023)

SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation. - Yen-Chi Cheng; Hsin-Ying Lee 001; Sergey Tulyakov; Alexander G. Schwing; Liangyan Gui (CVPR, 2023)

Context-Aware Relative Object Queries to Unify Video Instance and Panoptic Segmentation. - Anwesa Choudhuri; Girish Chowdhary 001; Alexander G. Schwing (CVPR, 2023)

Tracking Anything with Decoupled Video Segmentation. - Ho Kei Cheng; Seoung Wug Oh; Brian L. Price; Alexander G. Schwing; Joon-Young Lee (ICCV, 2023)

Learning to Decompose Visual Features with Latent Textual Prompts. - Feng Wang 047; Manling Li; Xudong Lin 003; Hairong Lv; Alexander G. Schwing; Heng Ji 001 (ICLR, 2023)

Diffusion Probabilistic Fields. - Peiye Zhuang; Samira Abnar; Jiatao Gu; Alexander G. Schwing; Joshua M. Susskind; Miguel Ángel Bautista 001 (ICLR, 2023)

Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction. - Yuan-Ting Hu; Alexander G. Schwing; Raymond A. Yeh (ICML, 2023)

RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. - Zhenggang Tang; Balakumar Sundaralingam; Jonathan Tremblay; Bowen Wen; Ye Yuan; Stephen Tyree; Charles T. Loop; Alexander G. Schwing; Stan Birchfield (ICRA, 2023)

Semantic Autoencoder for Modeling BEOL and MOL Dielectric Lifetime Distributions. - Weiman Yan; Ernest Wu; Alexander G. Schwing; Elyse Rosenbaum (IRPS, 2023)

A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. - Kai Yan; Alexander G. Schwing; Yu-Xiong Wang (NeurIPS, 2023)

Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data. - Saba Ghaffari; Ehsan Saleh; Alexander G. Schwing; Yu-Xiong Wang; Martin D. Burke; Saurabh Sinha (CoRR, 2023)

Is Generalized Dynamic Novel View Synthesis from Monocular Videos Possible Today? - Xiaoming Zhao 001; Alex Colburn; Fangchang Ma; Miguel Ángel Bautista 001; Joshua M. Susskind; Alexander G. Schwing (CoRR, 2023)

StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D. - Pengsheng Guo; Hans Hao; Adam Caccavale; Zhongzheng Ren; Edward Zhang; Qi Shan; Aditya Sankar; Alexander G. Schwing; Alex Colburn; Fangchang Ma (CoRR, 2023)

Virtual Pets: Animatable Animal Generation in 3D Scenes. - Yen-Chi Cheng; Chieh Hubert Lin; Chaoyang Wang 001; Yash Kant; Sergey Tulyakov; Alexander G. Schwing; Liangyan Gui; Hsin-Ying Lee 001 (CoRR, 2023)

Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021). - Christian Bauckhage; Wolfgang Förstner; Juergen Gall; Michael Möller 001; Alexander G. Schwing (Int. J. Comput. Vis., 2023)

Layer Collaboration in the Forward-Forward Algorithm. - Guy Lorberbom; Itai Gat; Yossi Adi; Alexander G. Schwing; Tamir Hazan (AAAI, 2024)

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

NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows. - Zhenggang Tang; Zhongzheng Ren; Xiaoming Zhao 001; Bowen Wen; Jonathan Tremblay; Stan Birchfield; Alexander G. Schwing (CVPR, 2024)

GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh. - Jing Wen; Xiaoming Zhao 001; Zhongzheng Ren; Alexander G. Schwing; Shenlong Wang (CVPR, 2024)

Pseudo-Generalized Dynamic View Synthesis from a Video. - Xiaoming Zhao 001; Alex Colburn; Fangchang Ma; Miguel Ángel Bautista 001; Joshua M. Susskind; Alexander G. Schwing (ICLR, 2024)

Robust Model-Based Optimization for Challenging Fitness Landscapes. - Saba Ghaffari; Ehsan Saleh; Alexander G. Schwing; Yu-Xiong Wang; Martin D. Burke; Saurabh Sinha (ICLR, 2024)

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. - Kai Yan; Alexander G. Schwing; Yu-Xiong Wang (ICML, 2024)

OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning. - Anwesa Choudhuri; Girish Chowdhary 001; Alexander G. Schwing (NeurIPS, 2024)

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers. - Kai Yan; Alexander G. Schwing; Yu-Xiong Wang (NeurIPS, 2024)

OW-VISCap: Open-World Video Instance Segmentation and Captioning. - Anwesa Choudhuri; Girish Chowdhary 001; Alexander G. Schwing (CoRR, 2024)

Pixel-Aligned Multi-View Generation with Depth Guided Decoder. - Zhenggang Tang; Peiye Zhuang; Chaoyang Wang 001; Aliaksandr Siarohin; Yash Kant; Alexander G. Schwing; Sergey Tulyakov; Hsin-Ying Lee 001 (CoRR, 2024)

On Inductive Biases That Enable Generalization of Diffusion Transformers. - Jie An 002; De Wang; Pengsheng Guo; Jiebo Luo 001; Alexander G. Schwing (CoRR, 2024)

Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis. - Ho Kei Cheng; Masato Ishii; Akio Hayakawa; Takashi Shibuya 001; Alexander G. Schwing; Yuki Mitsufuji (CoRR, 2024)

MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis. - Ho Kei Cheng; Masato Ishii; Akio Hayakawa; Takashi Shibuya 001; Alexander G. Schwing; Yuki Mitsufuji (CVPR, 2025)

RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations. - Savya Khosla; Sethuraman TV; Alexander G. Schwing; Derek Hoiem (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 G. Schwing; Zhicheng Yan 001 (CVPR, 2025)

LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh. - Jing Wen; Alexander G. Schwing; Shenlong Wang (ICLR, 2025)

Towards Hierarchical Rectified Flow. - Yichi Zhang; Yici Yan; Alexander G. Schwing; Zhizhen Zhao 001 (ICLR, 2025)

Variational Rectified Flow Matching. - Pengsheng Guo; Alexander G. Schwing (CoRR, 2025)

The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation. - Ho Kei Cheng; Alexander G. Schwing (CoRR, 2025)

Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective. - Xiaoming Zhao 001; Alexander G. Schwing (CoRR, 2025)

3D-Fixup: Advancing Photo Editing with 3D Priors. - Yen-Chi Cheng; Krishna Kumar Singh; Jae Shin Yoon; Alexander G. Schwing; Liangyan Gui; Matheus Gadelha; Paul Guerrero 001; Nanxuan Zhao (CoRR, 2025)

REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders. - Savya Khosla; Sethuraman TV; Barnett Lee; Alexander G. Schwing; Derek Hoiem (CoRR, 2025)

Spatio-Temporal LLM: Reasoning about Environments and Actions. - Haozhen Zheng; Beitong Tian; Mingyuan Wu; Zhenggang Tang; Klara Nahrstedt; Alexander G. Schwing (CoRR, 2025)