Volker Tresp

AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models AAAI 2026 Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning ACL 2026 OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model AAAI 2026 Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules EACL 2026 Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? WACV 2025 CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering WACV 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models CVPR 2025 FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025 FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings ACL 2025 Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention AISTATS 2025 LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering ACL 2025 Localizing Events in Videos with Multimodal Queries CVPR 2025 METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding EMNLP 2025 Multimodal Pragmatic Jailbreak on Text-to-image Models ACL 2025 Perceive Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries WACV 2025 SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence EMNLP 2025 WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration AAAI 2025 Can Vision-Language Models Be a Good Guesser? Exploring VLMs for Times and Location Reasoning WACV 2024 Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining WACV 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models NAACL 2024 LookupViT: Compressing visual information to a limited number of tokens ECCV 2024 Provably Better Explanations with Optimized Aggregation of Feature Attributions ICML 2024 Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation CVPR 2024 Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs EMNLP 2024 VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs EMNLP 2024 Visual Question Decomposition on Multimodal Large Language Models EMNLP 2024 What's Outside the Intersection? Fine-Grained Error Analysis for Semantic Segmentation Beyond IoU WACV 2024 zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models NAACL 2024 Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NeurIPS 2023 Do DALL-E and Flamingo Understand Each Other? ICCV 2023 ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations ACL 2023 FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation ICCV 2023 InstanceFormer: An Online Video Instance Segmentation Framework AAAI 2023 Multi-Event Video-Text Retrieval ICCV 2023 Are Vision Transformers Robust to Patch Perturbations? ECCV 2022 Continuous Temporal Graph Networks for Event-Based Graph Data NAACL 2022 Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract) IJCAI 2022 Improving Scene Graph Classification by Exploiting Knowledge from Texts AAAI 2022 Named Entity Recognition in Industrial Tables using Tabular Language Models EMNLP 2022 Relationformer: A Unified Framework for Image-to-Graph Generation ECCV 2022 SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness ECCV 2022 TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion ACL 2022 TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs AAAI 2022 Towards Data-Free Domain Generalization ACML 2022 Capsule Network Is Not More Robust Than Convolutional Network CVPR 2021 Causal Inference under Networked Interference and Intervention Policy Enhancement AISTATS 2021 Classification by Attention: Scene Graph Classification with Prior Knowledge AAAI 2021 Description-based Label Attention Classifier for Explainable ICD-9 Classification EMNLP 2021 Effective and Efficient Vote Attack on Capsule Networks ICLR 2021 Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs ICLR 2021 Few-Shot One-Class Classification via Meta-Learning AAAI 2021 Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs EMNLP 2021 Mutual Information State Intrinsic Control ICLR 2021 PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings JMLR 2021 Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework EMNLP 2021 Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models MLHC 2021 An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing EMNLP 2020 DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion EMNLP 2020 Improving the Robustness of Capsule Networks to Image Affine Transformations CVPR 2020 Reasoning on Knowledge Graphs with Debate Dynamics AAAI 2020 Maximum Entropy-Regularized Multi-Goal Reinforcement Learning ICML 2019 Energy-Based Hindsight Experience Prioritization CoRL 2018 Improving Information Extraction from Images with Learned Semantic Models IJCAI 2018 Tensor-Train Recurrent Neural Networks for Video Classification ICML 2017 Reducing the Rank in Relational Factorization Models by Including Observable Patterns NeurIPS 2014 Natural Language Questions for the Web of Data EMNLP 2012 Stochastic Relational Models for Discriminative Link Prediction NeurIPS 2006