TUdatalib : Recently added

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Anzeige der Datensätze 1-20 von 163

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model

Endres, Jannik; Hahn, Oliver; Corbière, Charles; Schaub-Meyer, Simone; Roth, Stefan; Alahi, Alexandre (2025-03)
Benchmarking the Attribution Quality of Vision Models

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2024-12)
Scene-Centric Unsupervised Panoptic Segmentation

Hahn, Oliver; Reich, Christoph; Araslanov, Nikita; Cremers, Daniel; Rupprecht, Christian; Roth, Stefan (2025-06-11)
Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Bahmani, Sherwin; Hahn, Oliver; Zamfir, Eduard; Araslanov, Nikita; Cremers, Daniel; Roth, Stefan (2023-07)
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals

Hahn, Oliver; Araslanov, Nikita; Schaub-Meyer, Simone; Roth, Stefan (2024-09)
Content-Adaptive Downsampling in Convolutional Neural Networks

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2023-06)
Real-world misleading visualizations QA dataset

Tonglet, Jonathan; Moens, Marie-Francine; Tuytelaars, Tinne; Gurevych, Iryna (2025-02-27)
M-Stance: A Multi-Target, Multilingual and Multi-Cultural Stance Detection Dataset towards EU Refugee Crisis

Zhifan, Sun; Andreas, Waldis; Yongxin, Huang; Anamaria, Segesten; Iryna, Gurevych (2025-02-24)
PeerQA: A Scientific Question Answering Dataset from Peer Reviews

Baumgärtner, Tim; Briscoe, Ted; Gurevych, Iryna (2025)
ARR Data Collection Initiative 2024

Lu, Sheng; Dycke, Nils; Tonja, Atnafu Lambebo; Solorio, Thamar; Zhu, Xiaodan; Dercksen, Koen; Qu, Lizhen; Mieskes, Margot; Hovy, Dirk; Gurevych, Iryna (2025-02)
NLPEERv2: A Unified Resource for the Computational Study of Peer Review

Dycke, Nils; Sheng, Lu; Holtdirk, Hanna; Gurevych, Iryna (2025-02)
A Qualitative Investigation of User Transitions and Frictions in Cross-Reality Applications - dataset

von Willich, Julius; Tseng, Wen-Jie; Nelles, Frank (2023-05)
DensingQueen - dataset

von Willich, Julius; Schmitz, Martin; Müller, Florian (2020-06)
Podoportation - dataset

von Willich, Julius; Schmitz, Martin; Müller, Florian (2019-06)
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training

Kreutz, Thomas; Lemke, Jens; Mühlhäuser, Max; Sanchez Guinea, Alejandro (2024)
Attribute or Abstain: Large Language Models as Long Document Assistants

Buchmann, Jan; Liu, Xiao; Gurevych, Iryna (2024)
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions

Ruan, Qian; Kuznetsov, Ilia; Gurevych, Iryna (2024-10-02)
Few-Shot-150T (FS150T) Corpus

Schiller, Benjamin; Daxenberger, Johannes; Waldis, Andreas; Gurevych, Iryna (2024-09)
Perspective Argument Retrieval

Falk, Neele; Waldis, Andreas; Gurevych, Iryna (2024)
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification

Waldis, Andreas; Lauscher, Anne; Gurevych, Iryna (2024)

20 Fachbereich Informatik: Recent submissions

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model ﻿

Benchmarking the Attribution Quality of Vision Models ﻿

Scene-Centric Unsupervised Panoptic Segmentation ﻿

Semantic Self-adaptation: Enhancing Generalization with a Single Sample ﻿

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals ﻿

Content-Adaptive Downsampling in Convolutional Neural Networks ﻿

Real-world misleading visualizations QA dataset ﻿

M-Stance: A Multi-Target, Multilingual and Multi-Cultural Stance Detection Dataset towards EU Refugee Crisis ﻿

PeerQA: A Scientific Question Answering Dataset from Peer Reviews ﻿

ARR Data Collection Initiative 2024 ﻿

NLPEERv2: A Unified Resource for the Computational Study of Peer Review ﻿

A Qualitative Investigation of User Transitions and Frictions in Cross-Reality Applications - dataset ﻿

DensingQueen - dataset ﻿

Podoportation - dataset ﻿

LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training ﻿

Attribute or Abstain: Large Language Models as Long Document Assistants ﻿

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions ﻿

Few-Shot-150T (FS150T) Corpus ﻿

Perspective Argument Retrieval ﻿

The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification ﻿

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model

Benchmarking the Attribution Quality of Vision Models

Scene-Centric Unsupervised Panoptic Segmentation

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals

Content-Adaptive Downsampling in Convolutional Neural Networks

Real-world misleading visualizations QA dataset

M-Stance: A Multi-Target, Multilingual and Multi-Cultural Stance Detection Dataset towards EU Refugee Crisis

PeerQA: A Scientific Question Answering Dataset from Peer Reviews

ARR Data Collection Initiative 2024

NLPEERv2: A Unified Resource for the Computational Study of Peer Review

A Qualitative Investigation of User Transitions and Frictions in Cross-Reality Applications - dataset

DensingQueen - dataset

Podoportation - dataset

LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training

Attribute or Abstain: Large Language Models as Long Document Assistants

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions

Few-Shot-150T (FS150T) Corpus

Perspective Argument Retrieval

The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification