Haupt, J.
* 2006: Compressive Sampling Vs. Conventional Imaging
* 2010: Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels
* 2012: Level set estimation from compressive measurements using box constrained total variation regularization
* 2015: Role of driver assistance experience, system functionality, gender, age and sensation seeking in attitudes towards the safety of driver assistance systems
* 2020: Convexifying Sparse Interpolation With Infinitely Wide Neural Networks: An Atomic Norm Approach
* 2021: Reducing the Complexity of Model-Based MRI Reconstructions via Sparsification
Includes: Haupt, J. Haupt, J.[Jarvis]
Hauptman, A.G.[Alexander G.]
* 2020: Semantics-Preserving Graph Propagation for Zero-Shot Object Detection
Hauptmann, A.
* 2018: Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks
* 2018: Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography
* 2020: Garden of Forking Paths: Towards Multi-Future Trajectory Prediction, The
* 2020: Networks for Nonlinear Diffusion Problems in Imaging
* 2021: Efficient Quasi-Newton Method for Nonlinear Inverse Problems via Learned Singular Values, An
* 2021: Fusing electrical and elasticity imaging
* 2021: On Learned Operator Correction in Inverse Problems
* 2022: Model-Based Iterative Learning Approach for Diffuse Optical Tomography, A
* 2022: Speech Driven Tongue Animation
* 2023: Comprehensive Survey of Scene Graphs: Generation and Application, A
* 2023: Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
* 2023: STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition
* 2023: Video Pivoting Unsupervised Multi-Modal Machine Translation
* 2024: Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin
Includes: Hauptmann, A. Hauptmann, A.[Andreas] Hauptmann, A.[Alex] Hauptmann, A.[Alexander]
14 for Hauptmann, A.
Hauptmann, A.G.[Alexander G.]
* 2000: Complementary video and audio analysis for broadcast news archives
* 2002: Multi-modal information retrieval from broadcast video using OCR and speech recognition
* 2002: News video classification using SVMbased multimodal classifiers and combination strategies
* 2002: probabilistic model for camera zoom detection, A
* 2002: Using a probabilistic source model for comparing images
* 2003: Automatically labeling video data using multi-class active learning
* 2003: Pseudo-Relevance Feedback for Multimedia Retrieval
* 2004: Articulated Motion Modeling for Activity Analysis
* 2004: Co-retrieval: A Boosted Reranking Approach for Video Retrieval
* 2004: Combining motion segmentation with tracking for activity analysis
* 2004: Dining activity analysis using a hidden markov model
* 2004: Discriminative Learning Framework with Pairwise Constraints for Video Object Classification, A
* 2004: Finding Person X: Correlating Names with Visual Appearances
* 2004: Towards a Large Scale Concept Ontology for Broadcast Video
* 2004: What's News, What's Not? Associating News Videos with Words
* 2005: Assessing Effectiveness in Video Retrieval
* 2005: Co-retrieval: A Boosted Reranking Approach for Video Retrieval
* 2005: Lessons for the Future from a Decade of Informedia Video Analysis Research
* 2005: Use and Utility of High-Level Semantic Features in Video Retrieval, The
* 2006: Annotating News Video with Locations
* 2006: Discriminative Learning Framework with Pairwise Constraints for Video Object Classification, A
* 2006: Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
* 2006: Exploring the Synergy of Humans and Machines in Extreme Video Retrieval
* 2007: Can High-Level Concepts Fill the Semantic Gap in Video Retrieval? A Case Study With Broadcast News
* 2007: How many high-level concepts will fill the semantic gap in news video retrieval?
* 2008: Efficient search: the informedia video retrieval system
* 2008: Measuring novelty and redundancy with multiple modalities in cross-lingual broadcast news
* 2008: Un)Reliability of video concept detection
* 2008: Video Retrieval Based on Semantic Concepts
* 2009: Action recognition via local descriptors and holistic features
* 2009: Real-Time Near-Duplicate Elimination for Web Video Search With Content and Context
* 2010: Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study
* 2011: People detection based on appearance and motion models
* 2012: Action recognition by exploring data distribution and feature correlation
* 2012: Beyond audio and video retrieval: Towards multimedia summarization
* 2012: Classifier-specific intermediate representation for multimedia tasks
* 2012: Constrained keypoint quantization: towards better bag-of-words model for large-scale multimedia retrieval
* 2012: Discriminating Joint Feature Analysis for Multimedia Data Understanding
* 2012: Double Fusion for Multimedia Event Detection
* 2012: Framework for Classifier Adaptation for Large-Scale Multimedia Data, A
* 2012: Multimodal knowledge-based analysis in multimedia event detection
* 2012: Spline Regression Hashing for Fast Image Search
* 2012: Symbiotic Black-Box Tracker
* 2012: Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding
* 2012: Web-Scale Multimedia Processing and Applications
* 2013: Beyond audio and video retrieval: Topic-oriented multimedia summarization
* 2013: Complex Event Detection via Multi-source Video Attributes
* 2013: Feature Selection for Multimedia Analysis by Sharing Information Among Multiple Tasks
* 2013: Feature Weighting via Optimal Thresholding for Video Analysis
* 2013: Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization
* 2013: How Related Exemplars Help Complex Event Detection in Web Videos?
* 2013: Infrared Patch-Image Model for Small Target Detection in a Single Image
* 2013: Multi-Feature Fusion via Hierarchical Regression for Multimedia Analysis
* 2013: Multimedia Event Detection Using A Classifier-Specific Intermediate Representation
* 2013: Space-Time Robust Representation for Action Recognition
* 2013: Unified Dictionary Learning and Region Tagging with Hierarchical Sparse Representation
* 2014: E-LAMP: integration of innovative ideas for multimedia event detection
* 2014: Event Detection Using Multi-level Relevance Labels and Multiple Features
* 2014: Everything is in the Face? Represent Faces with Object Bank
* 2014: Harnessing Lab Knowledge for Real-World Action Recognition
* 2014: Knowledge Adaptation with Partially Shared Features for Event Detection Using Few Exemplars
* 2014: Resource Constrained Multimedia Event Detection
* 2014: Semi-Supervised Multiple Feature Analysis for Action Recognition
* 2014: Snippet Based Trajectory Statistics Histograms for Assistive Technologies
* 2014: Symbiotic Tracker Ensemble Toward A Unified Tracking Framework
* 2014: Unsupervised Video Adaptation for Parsing Human Motion
* 2015: Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition
* 2015: DevNet: A Deep Event Network for multimedia event detection and evidence recounting
* 2015: discriminative CNN video representation for event detection, A
* 2015: Event Oriented Dictionary Learning for Complex Event Detection
* 2015: Exploiting Feature Hierarchies with Convolutional Neural Networks for Cultural Event Recognition
* 2015: Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization
* 2016: Best of Both Worlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition, The
* 2016: Solution Path Algorithm for Identity-Aware Multi-object Tracking, The
* 2016: Text-to-video: a semantic search engine for internet videos
* 2017: Bi-Level Semantic Representation Analysis for Multimedia Event Detection
* 2017: Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos
* 2017: Deep Local Video Feature for Action Recognition
* 2017: Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection
* 2017: Many Shades of Negativity, The
* 2017: Simple to complex cross-modal learning to rank
* 2017: Uncovering the Temporal Context for Video Question Answering
* 2017: Video Search via Ranking Network with Very Few Query Exemplars
* 2018: DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
* 2018: Deep feature learning via structured graph Laplacian embedding for person re-identification
* 2018: Focal Visual-Text Attention for Visual Question Answering
* 2018: Hidden Two-Stream Convolutional Networks for Action Recognition
* 2018: RCAA: Relational Context-Aware Agents for Person Search
* 2019: Adaptive Semi-Supervised Feature Selection for Cross-Modal Retrieval
* 2019: Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection
* 2019: Contrastive Adaptation Network for Unsupervised Domain Adaptation
* 2019: Focal Visual-Text Attention for Memex Question Answering
* 2019: Generating Video Descriptions With Latent Topic Guidance
* 2019: Learning Spatial Awareness to Improve Crowd Counting
* 2019: Minding the Gaps in a Video Action Analysis Pipeline
* 2019: Peeking Into the Future: Predicting Future Person Activities and Locations in Videos
* 2019: Scheduled sampling for one-shot learning via matching network
* 2020: Adaptive Feature Aggregation for Video Object Detection
* 2020: Argus: Efficient Activity Detection System for Extended Video Analysis
* 2020: Deep Top-k Ranking for Image-Sentence Matching
* 2020: ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City
* 2020: Few-Shot Activity Recognition with Cross-Modal Memory Network
* 2020: Fuzzy Least Squares Support Vector Machine With Adaptive Membership for Object Tracking
* 2020: SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
* 2020: Zero-VIRUS*: Zero-shot Vehicle Route Understanding System for Intelligent Transportation
* 2020: ZSTAD: Zero-Shot Temporal Activity Detection
* 2021: Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision
* 2021: MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos
* 2021: Pose Guided Person Image Generation With Hidden P-Norm Regression
* 2022: Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals
* 2022: Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation
* 2022: Rethinking Spatial Invariance of Convolutional Networks for Object Counting
* 2022: Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions
* 2022: TRM: Temporal Relocation Module for Video Recognition
* 2023: Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions
* 2023: ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules
* 2023: MAGVIT: Masked Generative Video Transformer
* 2023: TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection
Includes: Hauptmann, A.G.[Alexander G.] Hauptmann, A.G. Hauptmann, A.G.[Alex G.]
118 for Hauptmann, A.G.
Hauptmann, A.S.[Andreas S.]
* 2023: Sequential Model Correction for Nonlinear Inverse Problems
Hauptmann, P.[Peter]
* 1993: Sensors: Principles and Applications