← Authors

Alexander Schwing

41 papers · 2014–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (9) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (95) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (8) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam 🧬 Topic Evolution ⚑ Prolific Year (6) πŸ”₯ Unstoppable (12) πŸ—ƒοΈ Keyword Collector (194) πŸ’Ž Century Club (41) πŸ“ˆ Trend Setter

Conferences

NIPS (18) ICCV (6) CVPR (5) ICML (5) AAAI (2) AISTATS (2) ECCV (2) ICLR (1)

Top co-authors

Tamir Hazan (5) Iou-Jen Liu (4) Raymond Yeh (4) Ho Kei Cheng (4) Yuan-Ting Hu (3) Svetlana Lazebnik (3) Raquel Urtasun (3) Unnat Jain (3) Derek Hoiem (3) Joon-Young Lee (2)

Keywords

multimodal learning (6) structured prediction (5) visual question answering (5) graphical model (4) deep learning (3) neural network optimization (3) object tracking (3) deep reinforcement learning (3) object detection (3) semantic segmentation (3) generative adversarial network (3) object localization (2) flow matching (2) map inference (2) conditional generation (2) video understanding (2) scene reconstruction (2) video segmentation (2) attention mechanism (2) image captioning (2)

Papers

Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework ICCV 2025
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis CVPR 2025
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds CVPR 2025
RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations CVPR 2025
The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation ICCV 2025
Layer Collaboration in the Forward-Forward Algorithm AAAI 2024
Putting the Object Back into Video Object Segmentation CVPR 2024
NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows CVPR 2024
Tracking Anything with Decoupled Video Segmentation ICCV 2023
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language ICML 2022
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding AAAI 2022
Equivariance Discovery by Learned Parameter-Sharing AISTATS 2022
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks ECCV 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies NIPS 2020
Spatially Aware Multimodal Transformers for TextVQA ECCV 2020
High-Throughput Synchronous Deep RL NIPS 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning NIPS 2020
Towards a Better Global Loss Landscape of GANs NIPS 2020
Knowledge Flow: Improve Upon Your Teachers ICLR 2019
Chirality Nets for Human Pose Regression NIPS 2019
TAB-VCR: Tags and Attributes based VCR Baselines NIPS 2019
Co-Generation with GANs using AIS based HMC NIPS 2019
Graph Structured Prediction Energy Networks NIPS 2019
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning ICCV 2019
ViCo: Word Embeddings From Visual Co-Occurrences ICCV 2019
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques ICCV 2019
Deep Structured Prediction with Nonlinear Output Transformations NIPS 2018
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training NIPS 2018
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NIPS 2018
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering NIPS 2018
Dualing GANs NIPS 2017
MaskRNN: Instance Level Video Object Segmentation NIPS 2017
Asynchronous Parallel Coordinate Minimization for MAP Inference NIPS 2017
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts NIPS 2017
High-Order Attention Models for Visual Question Answering NIPS 2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NIPS 2017
Training Deep Neural Networks via Direct Loss Minimization ICML 2016
Learning Deep Structured Models ICML 2015
Computational Education using Latent Structured Prediction AISTATS 2014
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014