Alexander G. Schwing
129 publications
14 venues
H Index 50
Affiliation
University of Illinois at Urbana-Champaign, IL, USAETH Zurich, Computer Science Department, Switzerland
Technical University Munich, Department of Electrical Engineering and Information Technology, Germany
Links
DBLPGoogle Scholar
Twitter- http://www.alexander-schwing.de/
- https://ece.illinois.edu/about/directory/faculty/aschwing
- https://openreview.net/profile?id=~Alex_Schwing1
- https://dl.acm.org/profile/81501682814
- https://zbmath.org/authors/?q=ai:schwing.alexander-g
- https://www.wikidata.org/entity/Q44685124
- https://d-nb.info/gnd/1116557851
- https://dblp.uni-trier.de/pers/hd/s/Schwing:Alexander_Gerhard
| Name | Venue | Year | citations |
|---|---|---|---|
Variational Rectified Flow Matching.
|
ICML | 2025 | 18 |
| LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh.
|
ICLR | 2025 | 8 |
| Towards Hierarchical Rectified Flow.
|
ICLR | 2025 | 10 |
| MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis.
|
CVPR | 2025 | 0 |
| MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds.
|
CVPR | 2025 | 0 |
| RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations.
|
CVPR | 2025 | 0 |
| OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning.
|
NIPS/NeurIPS | 2024 | 5 |
| GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh.
|
CVPR | 2024 | 56 |
| Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers.
|
NIPS/NeurIPS | 2024 | 5 |
| NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows.
|
CVPR | 2024 | 2 |
| Layer Collaboration in the Forward-Forward Algorithm.
|
AAAI | 2024 | 0 |
| Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching.
|
ICML | 2024 | 0 |
| Putting the Object Back into Video Object Segmentation.
|
CVPR | 2024 | 0 |
| Pseudo-Generalized Dynamic View Synthesis from a Video.
|
ICLR | 2024 | 0 |
| Robust Model-Based Optimization for Challenging Fitness Landscapes.
|
ICLR | 2024 | 0 |
| AutoFocusFormer: Image Segmentation off the Grid.
|
CVPR | 2023 | 17 |
| Tracking Anything with Decoupled Video Segmentation.
|
ICCV | 2023 | 222 |
| Diffusion Probabilistic Fields.
|
ICLR | 2023 | 32 |
| A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories.
|
NIPS/NeurIPS | 2023 | 7 |
| Context-Aware Relative Object Queries to Unify Video Instance and Panoptic Segmentation.
|
CVPR | 2023 | 10 |
| Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction.
|
ICML | 2023 | 1 |
| Occupancy Planes for Single-View RGB-D Human Reconstruction.
|
AAAI | 2023 | 0 |
| RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control.
|
ICRA | 2023 | 0 |
| SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation.
|
CVPR | 2023 | 0 |
| Learning to Decompose Visual Features with Latent Textual Prompts.
|
ICLR | 2023 | 0 |
| Total Variation Optimization Layers for Computer Vision.
|
CVPR | 2022 | 17 |
| DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data.
|
NIPS/NeurIPS | 2022 | 25 |
| CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations.
|
NIPS/NeurIPS | 2022 | 3 |
| Equivariance Discovery by Learned Parameter-Sharing.
|
AISTATS | 2022 | 20 |
| Neural Volumetric Object Selection.
|
CVPR | 2022 | 71 |
| Joint Forecasting of Panoptic Segmentations with Difference Attention.
|
CVPR | 2022 | 0 |
| Initialization and Alignment for Adversarial Texture Optimization.
|
ECCV | 2022 | 2 |
| Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks.
|
NIPS/NeurIPS | 2022 | 19 |
| Generative Multiplane Images: Making a 2D GAN 3D-Aware.
|
ECCV | 2022 | 74 |
| XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model.
|
ECCV | 2022 | 590 |
| On the Importance of Gradient Norm in PAC-Bayesian Bounds.
|
NIPS/NeurIPS | 2022 | 6 |
| MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding.
|
AAAI | 2022 | 0 |
| Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language.
|
ICML | 2022 | 0 |
| Masked-attention Mask Transformer for Universal Image Segmentation.
|
CVPR | 2022 | 0 |
| Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation.
|
ICLR | 2021 | 86 |
| GridToPix: Training Embodied Agents with Minimal Supervision.
|
ICCV | 2021 | 24 |
| Panoptic Segmentation Forecasting.
|
CVPR | 2021 | 15 |
| SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data.
|
CVPR | 2021 | 44 |
| The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation.
|
ICCV | 2021 | 50 |
| Class-agnostic Reconstruction of Dynamic Objects from Videos.
|
NIPS/NeurIPS | 2021 | 9 |
| FuseRec: fusing user and item homophily modeling with temporal recommender systems.
|
DMKD | 2021 | 7 |
| Per-Pixel Classification is Not All You Need for Semantic Segmentation.
|
NIPS/NeurIPS | 2021 | 1917 |
| DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization.
|
SIGIR | 2021 | 14 |
| Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents.
|
ICCV | 2021 | 30 |
| Perceptual Score: What Data Modalities Does Your Model Perceive?
|
NIPS/NeurIPS | 2021 | 45 |
| Assignment-Space-based Multi-Object Tracking and Segmentation.
|
ICCV | 2021 | 9 |
| Cooperative Exploration for Multi-Agent Deep Reinforcement Learning.
|
ICML | 2021 | 131 |
| 3D Spatial Recognition Without Spatially Labeled 3D.
|
CVPR | 2021 | 67 |
| Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning.
|
IROS | 2021 | 21 |
| Bridging the Imitation Gap by Adaptive Insubordination.
|
NIPS/NeurIPS | 2021 | 0 |
| A Contrastive Learning Approach for Training Variational Autoencoder Priors.
|
NIPS/NeurIPS | 2021 | 0 |
| Towards a Better Global Loss Landscape of GANs.
|
NIPS/NeurIPS | 2020 | 36 |
| Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning.
|
NIPS/NeurIPS | 2020 | 101 |
| Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis.
|
CVPR | 2020 | 198 |
| Dynamic Neural Relational Inference.
|
CVPR | 2020 | 71 |
| Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies.
|
NIPS/NeurIPS | 2020 | 103 |
| Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection.
|
CVPR | 2020 | 223 |
| Proposal-Based Video Completion.
|
ECCV | 2020 | 43 |
| Spatially Aware Multimodal Transformers for TextVQA.
|
ECCV | 2020 | 95 |
| High-Throughput Synchronous Deep RL.
|
NIPS/NeurIPS | 2020 | 13 |
| Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?
|
CVPR | 2020 | 5 |
| A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks.
|
ECCV | 2020 | 65 |
| UFO
|
ECCV | 2020 | 0 |
| Chirality Nets for Human Pose Regression.
|
NIPS/NeurIPS | 2019 | 59 |
| Diverse Generation for Multi-Agent Sports Games.
|
CVPR | 2019 | 109 |
| Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning.
|
ICCV | 2019 | 71 |
| Factor Graph Attention.
|
CVPR | 2019 | 112 |
| ViCo: Word Embeddings From Visual Co-Occurrences.
|
ICCV | 2019 | 27 |
| TAB-VCR: Tags and Attributes based VCR Baselines.
|
NIPS/NeurIPS | 2019 | 25 |
| PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning.
|
CoRL | 2019 | 90 |
| Graph Structured Prediction Energy Networks.
|
NIPS/NeurIPS | 2019 | 19 |
| Two Body Problem: Collaborative Visual Task Completion.
|
CVPR | 2019 | 75 |
| Max-Sliced Wasserstein Distance and Its Use for GANs.
|
CVPR | 2019 | 228 |
| Co-Generation with GANs using AIS based HMC.
|
NIPS/NeurIPS | 2019 | 2 |
| A Simple Baseline for Audio-Visual Scene-Aware Dialog.
|
CVPR | 2019 | 85 |
| Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech.
|
CVPR | 2019 | 0 |
| SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines.
|
CVPR | 2019 | 0 |
| No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques.
|
ICCV | 2019 | 0 |
| VideoMatch: Matching Based Video Object Segmentation.
|
ECCV | 2018 | 295 |
| Diverse and Coherent Paragraph Generation from Images.
|
ECCV | 2018 | 67 |
| Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering.
|
ECCV | 2018 | 116 |
| Generative Modeling Using the Sliced Wasserstein Distance.
|
CVPR | 2018 | 249 |
| Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training.
|
NIPS/NeurIPS | 2018 | 109 |
| Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering.
|
CVPR | 2018 | 82 |
| Deep Structured Prediction with Nonlinear Output Transformations.
|
NIPS/NeurIPS | 2018 | 26 |
| Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation.
|
ECCV | 2018 | 103 |
| Structural Consistency and Controllability for Diverse Colorization.
|
ECCV | 2018 | 52 |
| Unsupervised Textual Grounding: Linking Words to Image Concepts.
|
CVPR | 2018 | 44 |
| Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering.
|
NIPS/NeurIPS | 2018 | 11 |
| GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.
|
NIPS/NeurIPS | 2018 | 69 |
| Convolutional Image Captioning.
|
CVPR | 2018 | 0 |
| High-Order Attention Models for Visual Question Answering.
|
NIPS/NeurIPS | 2017 | 105 |
| Asynchronous Parallel Coordinate Minimization for MAP Inference.
|
NIPS/NeurIPS | 2017 | 6 |
| Dualing GANs.
|
NIPS/NeurIPS | 2017 | 21 |
| Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space.
|
NIPS/NeurIPS | 2017 | 180 |
| Creativity: Generating Diverse Questions Using Variational Autoencoders.
|
CVPR | 2017 | 158 |
| Semantic Image Inpainting with Deep Generative Models.
|
CVPR | 2017 | 0 |
| MaskRNN: Instance Level Video Object Segmentation.
|
NIPS/NeurIPS | 2017 | 0 |
| Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts.
|
NIPS/NeurIPS | 2017 | 0 |
| Efficient Deep Learning for Stereo Matching.
|
CVPR | 2016 | 769 |
| Blending Learning and Inference in Conditional Random Fields.
|
JMLR | 2016 | 9 |
| Constraints Based Convex Belief Propagation.
|
NIPS/NeurIPS | 2016 | 0 |
| Learning Deep Parsimonious Representations.
|
NIPS/NeurIPS | 2016 | 100 |
| Training Deep Neural Networks via Direct Loss Minimization.
|
ICML | 2016 | 0 |
| Rent3D: Floor-plan priors for monocular layout estimation.
|
CVPR | 2015 | 89 |
| Monocular Object Instance Segmentation and Depth Ordering with CNNs.
|
ICCV | 2015 | 164 |
| Smooth and Strong: MAP Inference with Linear Convergence.
|
NIPS/NeurIPS | 2015 | 33 |
| Learning to segment under various forms of weak supervision.
|
CVPR | 2015 | 188 |
| Learning Deep Structured Models.
|
ICML | 2015 | 0 |
| Computational Education using Latent Structured Prediction.
|
AISTATS | 2014 | 5 |
| Efficient Structured Parsing of Facades Using Dynamic Programming.
|
CVPR | 2014 | 64 |
| Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm.
|
ICML | 2014 | 20 |
| Message Passing Inference for Large Scale Graphical Models with High Order Potentials.
|
NIPS/NeurIPS | 2014 | 4 |
| Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials.
|
NIPS/NeurIPS | 2014 | 20 |
| Tell Me What You See and I Will Show You Where It Is.
|
CVPR | 2014 | 98 |
| Latent Structured Active Learning.
|
NIPS/NeurIPS | 2013 | 118 |
| Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors.
|
ICCV | 2013 | 78 |
| Box in the Box: Joint 3D Layout and Object Reasoning from Single Images.
|
ICCV | 2013 | 135 |
| Efficient Structured Prediction with Latent Variables for General Graphical Models.
|
ICML | 2012 | 71 |
| Efficient Exact Inference for 3D Indoor Scene Understanding.
|
ECCV | 2012 | 122 |
| Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins.
|
NIPS/NeurIPS | 2012 | 34 |
| Efficient structured prediction for 3D indoor scene understanding.
|
CVPR | 2012 | 136 |
| Distributed message passing for large scale graphical models.
|
CVPR | 2011 | 83 |
| Adaptive random forest - How many "experts" to ask before making a decision?
|
CVPR | 2011 | 0 |