Alexander G. Schwing

Affiliations:
  • University of Illinois at Urbana-Champaign, IL, USA
  • ETH Zurich, Computer Science Department, Switzerland (former)
  • Technical University Munich, Department of Electrical Engineering and Information Technology, Germany (former)


According to our database1, Alexander G. Schwing authored at least 172 papers between 2007 and 2024.

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Bibliography

2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers.
CoRR, 2024

Pixel-Aligned Multi-View Generation with Depth Guided Decoder.
CoRR, 2024

OW-VISCap: Open-World Video Instance Segmentation and Captioning.
CoRR, 2024

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Model-Based Optimization for Challenging Fitness Landscapes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Pseudo-Generalized Dynamic View Synthesis from a Video.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Putting the Object Back into Video Object Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Layer Collaboration in the Forward-Forward Algorithm.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021).
Int. J. Comput. Vis., May, 2023

Virtual Pets: Animatable Animal Generation in 3D Scenes.
CoRR, 2023

StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D.
CoRR, 2023

Is Generalized Dynamic Novel View Synthesis from Monocular Videos Possible Today?
CoRR, 2023

Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data.
CoRR, 2023

A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semantic Autoencoder for Modeling BEOL and MOL Dielectric Lifetime Distributions.
Proceedings of the IEEE International Reliability Physics Symposium, 2023

RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction.
Proceedings of the International Conference on Machine Learning, 2023

Diffusion Probabilistic Fields.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Decompose Visual Features with Latent Textual Prompts.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tracking Anything with Decoupled Video Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Context-Aware Relative Object Queries to Unify Video Instance and Panoptic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AutoFocusFormer: Image Segmentation off the Grid.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Occupancy Planes for Single-View RGB-D Human Reconstruction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing.
CoRR, 2022

Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language.
CoRR, 2022

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Importance of Gradient Norm in PAC-Bayesian Bounds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ordered Attention for Coherent Visual Storytelling.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language.
Proceedings of the International Conference on Machine Learning, 2022

Initialization and Alignment for Adversarial Texture Optimization.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Generative Multiplane Images: Making a 2D GAN 3D-Aware.
Proceedings of the Computer Vision - ECCV 2022, 2022

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model.
Proceedings of the Computer Vision - ECCV 2022, 2022

Total Variation Optimization Layers for Computer Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural Volumetric Object Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Joint Forecasting of Panoptic Segmentations with Difference Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Masked-attention Mask Transformer for Universal Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Equivariance Discovery by Learned Parameter-Sharing.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Controllable Radiance Fields for Dynamic Face Synthesis.
Proceedings of the International Conference on 3D Vision, 2022

2021
FuseRec: fusing user and item homophily modeling with temporal recommender systems.
Data Min. Knowl. Discov., 2021

Mask2Former for Video Instance Segmentation.
CoRR, 2021

CoVA: Context-aware Visual Attention for Webpage Information Extraction.
CoRR, 2021

Towards Coherent Visual Storytelling with Ordered Image Attention.
CoRR, 2021

Robustifying 𝓁<sub>∞</sub> Adversarial Training to the Union of Perturbation Models.
CoRR, 2021

DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Bridging the Imitation Gap by Adaptive Insubordination.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Class-agnostic Reconstruction of Dynamic Objects from Videos.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Perceptual Score: What Data Modalities Does Your Model Perceive?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Per-Pixel Classification is Not All You Need for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Contrastive Learning Approach for Training Variational Autoencoder Priors.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Maya: Using Formal Control to Obfuscate Power Side Channels.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Cooperative Exploration for Multi-Agent Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation.
Proceedings of the 9th International Conference on Learning Representations, 2021

The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GridToPix: Training Embodied Agents with Minimal Supervision.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Assignment-Space-based Multi-Object Tracking and Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

3D Spatial Recognition Without Spatially Labeled 3D.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Panoptic Segmentation Forecasting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection.
CoRR, 2020

NCP-VAE: Variational Autoencoders with Noise Contrastive Priors.
CoRR, 2020

Bridging the Imitation Gap by Adaptive Insubordination.
CoRR, 2020

On the generalization of bayesian deep nets for multi-class classification.
CoRR, 2020

Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

High-Throughput Synchronous Deep RL.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards a Better Global Loss Landscape of GANs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

UFO<sup>2</sup>: A Unified Framework Towards Omni-supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Spatially Aware Multimodal Transformers for TextVQA.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Proposal-Based Video Completion.
Proceedings of the Computer Vision - ECCV 2020, 2020

Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Dynamic Neural Relational Inference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Dynamic Neural Relational Inference for Forecasting Trajectories.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


2019
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.
CoRR, 2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
CoRR, 2019

Chirality Nets for Human Pose Regression.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Simple Baseline for Visual Commonsense Reasoning.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

TAB-VCR: Tags and Attributes based VCR Baselines.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Graph Structured Prediction Energy Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Co-Generation with GANs using AIS based HMC.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Distributed Estimation via Opinion Dynamics.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

Sensor Training Data Reduction for Autonomous Vehicles.
Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges, 2019

Accelerating distributed reinforcement learning with in-switch computing.
Proceedings of the 46th International Symposium on Computer Architecture, 2019

FMRI Data Augmentation Via Synthesis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Knowledge Flow: Improve Upon Your Teachers.
Proceedings of the 7th International Conference on Learning Representations, 2019

No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

ViCo: Word Embeddings From Visual Co-Occurrences.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Diverse Generation for Multi-Agent Sports Games.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Factor Graph Attention.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Simple Baseline for Audio-Visual Scene-Aware Dialog.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Two Body Problem: Collaborative Visual Task Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Max-Sliced Wasserstein Distance and Its Use for GANs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques.
CoRR, 2018

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

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Structured Prediction with Nonlinear Output Transformations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks.
Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping.
Proceedings of the 6th International Conference on Learning Representations, 2018

Image Restoration with Deep Generative Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering.
Proceedings of the Computer Vision - ECCV 2018, 2018

Structural Consistency and Controllability for Diverse Colorization.
Proceedings of the Computer Vision - ECCV 2018, 2018

VideoMatch: Matching Based Video Object Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Diverse and Coherent Paragraph Generation from Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

Unsupervised Textual Grounding: Linking Words to Image Concepts.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Generative Modeling Using the Sliced Wasserstein Distance.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Convolutional Image Captioning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Dynamic Bayesian Networks for Student Modeling.
IEEE Trans. Learn. Technol., 2017

An Elevator Pitch on Deep Learning.
GetMobile Mob. Comput. Commun., 2017

Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

High-Order Attention Models for Visual Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Asynchronous Parallel Coordinate Minimization for MAP Inference.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dualing GANs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

MaskRNN: Instance Level Video Object Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 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

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening.
Proceedings of the 5th International Conference on Learning Representations, 2017

Semantic Image Inpainting with Deep Generative Models.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Creativity: Generating Diverse Questions Using Variational Autoencoders.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Blending Learning and Inference in Conditional Random Fields.
J. Mach. Learn. Res., 2016

Constraints Based Convex Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Deep Parsimonious Representations.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Training Deep Neural Networks via Direct Loss Minimization.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Efficient Deep Learning for Stereo Matching.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Direct Loss Minimization for Training Deep Neural Nets.
CoRR, 2015

Fully Connected Deep Structured Networks.
CoRR, 2015

Statistical Inference, Learning and Models in Big Data.
CoRR, 2015

Learning Deep Structured Models.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Smooth and Strong: MAP Inference with Linear Convergence.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Monocular Object Instance Segmentation and Depth Ordering with CNNs.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning to segment under various forms of weak supervision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Rent3D: Floor-plan priors for monocular layout estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Message Passing Inference for Large Scale Graphical Models with High Order Potentials.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm.
Proceedings of the 31th International Conference on Machine Learning, 2014

Tell Me What You See and I Will Show You Where It Is.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Efficient Structured Parsing of Facades Using Dynamic Programming.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Computational Education using Latent Structured Prediction.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Match Box: Indoor Image Matching via Box-Like Scene Estimation.
Proceedings of the 2nd International Conference on 3D Vision, 2014

2013
Inference and learning algorithms with applications to 3D indoor scene understanding.
PhD thesis, 2013

Latent Structured Active Learning.
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

Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Box in the Box: Joint 3D Layout and Object Reasoning from Single Images.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Efficient Structured Prediction with Latent Variables for General Graphical Models.
Proceedings of the 29th International Conference on Machine Learning, 2012

Efficient Exact Inference for 3D Indoor Scene Understanding.
Proceedings of the Computer Vision - ECCV 2012, 2012

Efficient structured prediction for 3D indoor scene understanding.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Fully automatic segmentation of wrist bones for arthritis patients.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Adaptive random forest - How many "experts" to ask before making a decision?
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Distributed message passing for large scale graphical models.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2007
Design of Single-Group Multicasting-Beamformers.
Proceedings of IEEE International Conference on Communications, 2007


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