Alexander Schwing
41 papers · 2014–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (9)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(11)
🌈
Renaissance Researcher
(8)
🌟
Keyword Trendsetter Combo
(3)
🏆
Grand Slam
🧬
Topic Evolution
⚡
Prolific Year
(6)
🔥
Unstoppable
(12)
🗃️
Keyword Collector
(194)
💎
Century Club
(41)
📈
Trend Setter
Conferences
NIPS (18)
ICCV (6)
CVPR (5)
ICML (5)
AAAI (2)
AISTATS (2)
ECCV (2)
ICLR (1)
Top co-authors
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