Zsolt Kira
Associate Professor
Studies machine learning for perception and robotics, including continual learning, semi-supervised learning and multi-sensor fusion.
Zsolt Kira's lab at Georgia Tech works on computational imaging & photography, embodied & active vision and robot perception & SLAM. 54 papers since 2023, 18 at top venues, mostly NeurIPS and CVPR. 11 PhD students and 9 master's students. 47 alumni, most often to Meta and Apple. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 33%
- PhD students
- 11
- MS students
- 9
- alumni listed
- 47
Papers by yearfrom the lab homepage, 2023–2026
- 13 papers2026 · T1 2 · collecting
- 8 papers2025 · T1 2
- 16 papers2024 · T1 11
- 17 papers2023 · T1 3
T1 venuesOtherVenues: NeurIPS, CVPR, ECCV, ICLR, ICRA
Research focuspaper titles that use each topic's words
- Embodied & active vision7 papers
- Robot perception & SLAM1 paper
- semi-supervised1 paper
- Computational imaging & photography0 papers
- semi-supervised learning0 papers
Paper list
From the lab homepage.
202613 papers
- CVPR FindingsEscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction (opens in a new tab)
- ICRA WorkshopEVE: A Generator-Verifier System for Generative Policies (opens in a new tab)
- ECCV (T1)FindingDory: A Benchmark to Evaluate Memory in Embodied Agents (opens in a new tab)
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), .Grounding Descriptions in Images informs Zero-Shot Visual Recognition (opens in a new tab)
- Conference on Neural Information Processing Systems (NeurIPS), .Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring (opens in a new tab)
- ICLR VerifAI Workshop.Identifying and Mitigating Reasoning Errors in VLM Verifiers via Activation Decomposition (opens in a new tab)
- ICLR (T1)Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification (opens in a new tab)
- Conference on Computer Vision and Pattern Recognition (CVPR), .MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization (opens in a new tab)
- IEEE Transactions on Robotics (T-RO), .Neural Fields and 3D Gaussian Splatting in Robotics: A Survey (opens in a new tab)
- Conference on Robot Learning (CoRL), .SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration Videos (opens in a new tab)
- International Conference on Robotics and Automation (ICRA).Sim2real Image Translation Enables Viewpoint-Robust Policies from Fixed-Camera Datasets (opens in a new tab)
- Conference on Computer Vision and Pattern Recognition (CVPR), .The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models (opens in a new tab)
20258 papers
- International Joint Conference on Artificial Intelligence (IJCAI) Survey Track, .Adversarial Attacks Using Differentiable Rendering: A Survey (opens in a new tab)
- International Conference on Learning Representations (ICLR), .Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding (opens in a new tab)
- International Conference on Learning Representations (ICLR), .Directional Gradient Projection for Robust Fine-tuning of Foundation Models (opens in a new tab)
- International Conference on Computer Vision (ICCV), .EmbodiedSplat: Personalized Real-to-Sim-to-Real Navigation with Gaussian Splats from a Mobile Device (opens in a new tab)
- Conference on Computer Vision and Pattern Recognition (CVPR), .FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering (opens in a new tab)
- CVPR (T1)From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons (opens in a new tab)
- International Conference on Neural Information Processing Systems (NeurIPS), .Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning (opens in a new tab)
- CVPR (T1)When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach (opens in a new tab)
202416 papers
- CVPR WorkshopAdaptive Memory Replay for Continual Learning (opens in a new tab)
- TMLR (T1)Continual Adaptation of Vision Transformers for Federated Learning (opens in a new tab)
- CVPR WorkshopContinual Diffusion with STAMINA: STack-And-Mask INcremental Adapters (opens in a new tab)
- TMLR (T1)Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA (opens in a new tab)
- CVPR (T1)Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion (opens in a new tab)
- ICRA (T1)FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects (opens in a new tab)
- Conference on Computer Vision and Pattern Recognition (CVPR).GOAT-Bench: A Benchmark for Multi-modal Lifelong Navigation (opens in a new tab)
- NeurIPS (T1)Grounding Multimodal Large Language Models in Actions (opens in a new tab)
- ICLR (T1)Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots (opens in a new tab)
- CVPR WorkshopICE-G: Image Conditional Editing of 3D Gaussian Splats (opens in a new tab)
- ICRA (T1)N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence (opens in a new tab)
- ECCV (T1)NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields (opens in a new tab)
202317 papers
- CVPR WorkshopA Closer Look at Rehearsal-Free Continual Learning (opens in a new tab)
- International Conference on Machine Learning (ICML), .Adaptive Coordination in Social Embodied Rearrangement (opens in a new tab)
- International Conference on Learning Representations (ICLR), .BC-IRL: Learning Generalizable Reward Functions from Demonstrations (opens in a new tab)
- Conference on Computer Vision and Pattern Recognition (CVPR), .CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning (opens in a new tab)
- International Conference on Robotics and Automation (ICRA), .Communication-Critical Planning via Multi-Agent Trajectory Exchange (opens in a new tab)
- International Conference on Neural Networks (IJCNN), .ConstraintMatch for Semi-Constrained Clustering (opens in a new tab)
- Conference on Computer Vision and Pattern Recognition (CVPR), .ConStruct-VL: Data-Free Continual Structured VL Concepts Learning (opens in a new tab)
- NeurIPS (T1)DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets (opens in a new tab)
- NeurIPS (T1)Fast Trainable Projection for Robust Fine-tuning (opens in a new tab)
- Conference on Computer Vision and Pattern Recognition (CVPR), .HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning (opens in a new tab)
- Conference on Robot Learning (CoRL).HomeRobot: Open-Vocabulary Mobile Manipulation (opens in a new tab)
- WACVLatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration (opens in a new tab)
Where alumni went47 listed, 100% to industry
Industry 5Academia 0
Most often to
- Meta
- Apple
- ByteDance
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- GBUCL
Sophia Bano
- Recognition, detection & segmentation
- CNTsinghua
Junliang Xing
- Recognition, detection & segmentation
- USCMU
Fernando De la Torre
- Embodied & active vision
- GBImperial
Krystian Mikolajczyk
- 3D vision & neural rendering
- CNZhejiang
Hao Chen
- 3D vision & neural rendering
- CNZhejiang
Min Zhang
- Rendering & appearance
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
Georgia Techcloses