Cover Image

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Didolkar, Aniket, Zadaianchuk, Andrii, Awal, Rabiul, Seitzer, Maximilian, Gavves, Efstratios, Agrawal, Aishwarya
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Shot Object-Centric Representation Learning
by: Didolkar, Aniket, et al.
Published: (2024)

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
by: Zadaianchuk, Andrii, et al.
Published: (2023)

Temporally Consistent Object-Centric Learning by Contrasting Slots
by: Manasyan, Anna, et al.
Published: (2024)

Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
by: Awal, Rabiul, et al.
Published: (2023)

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
by: Zhang, Le, et al.
Published: (2023)

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination
by: Barcellona, Leonardo, et al.
Published: (2024)

VisMin: Visual Minimal-Change Understanding
by: Awal, Rabiul, et al.
Published: (2024)

Benchmarking Vision Language Models for Cultural Understanding
by: Nayak, Shravan, et al.
Published: (2024)

Are Object-Centric Representations Better At Compositional Generalization?
by: Kapl, Ferdinand, et al.
Published: (2026)

Reconstruction by Generation: 3D Multi-Object Scene Reconstruction from Sparse Observations
by: Zadaianchuk, Andrii, et al.
Published: (2026)

Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments
by: Zhang, Chenyu, et al.
Published: (2025)

Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
by: Gandhi, Sanket, et al.
Published: (2024)

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
by: Spartalis, Christoforos N., et al.
Published: (2025)

Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI
by: Spartalis, Christoforos N., et al.
Published: (2025)

Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
by: Meo, Cristian, et al.
Published: (2024)

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
by: Nayak, Shravan, et al.
Published: (2025)

UNO: Unifying One-stage Video Scene Graph Generation via Object-Centric Visual Representation Learning
by: Le, Huy, et al.
Published: (2025)

Explicitly Disentangled Representations in Object-Centric Learning
by: Majellaro, Riccardo, et al.
Published: (2024)

GAP3D: Generative Alignment of VLM Latents to Patch-Level Embeddings for 3D Generation
by: Gkotsi, Polytimi Anna, et al.
Published: (2026)

Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection
by: Salehi, Mohammadreza, et al.
Published: (2024)

Grounding Continuous Representations in Geometry: Equivariant Neural Fields
by: Wessels, David R, et al.
Published: (2024)

CarFormer: Self-Driving with Learned Object-Centric Representations
by: Hamdan, Shadi, et al.
Published: (2024)

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations
by: Schirris, Yoni, et al.
Published: (2025)

VISA: Reasoning Video Object Segmentation via Large Language Models
by: Yan, Cilin, et al.
Published: (2024)

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
by: Yoon, Jaesik, et al.
Published: (2023)

DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
by: Seitzer, Maximilian, et al.
Published: (2023)

Object-Centric Latent Action Learning
by: Klepach, Albina, et al.
Published: (2025)

Transparent Visual Reasoning via Object-Centric Agent Collaboration
by: Teoh, Benjamin, et al.
Published: (2025)

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM
by: Chi, Donghwan, et al.
Published: (2025)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation
by: Liu, Jie, et al.
Published: (2025)

Assessing and Learning Alignment of Unimodal Vision and Language Models
by: Zhang, Le, et al.
Published: (2024)

Scaling Language-Centric Omnimodal Representation Learning
by: Xiao, Chenghao, et al.
Published: (2025)

SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation
by: Grigore, Diana-Nicoleta, et al.
Published: (2025)

Hierarchical Object-Centric Learning with Capsule Networks
by: Renzulli, Riccardo
Published: (2024)

RiT: Vanilla Diffusion Transformers Suffice in Representation Space
by: Zhang, Le, et al.
Published: (2026)

Improving Automatic VQA Evaluation Using Large Language Models
by: Mañas, Oscar, et al.
Published: (2023)

Discovering Failure Modes in Vision-Language Models using RL
by: Jain, Kanishk, et al.
Published: (2026)

An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
by: Ahmadi, Saba, et al.
Published: (2023)

Grounded Object Centric Learning
by: Kori, Avinash, et al.
Published: (2023)

Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection
by: Chandhok, Shivam, et al.
Published: (2025)