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researcher

F. Seligmann

3 papers hereh-index 232 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

works on
keypoint detection 1pose estimation 1probabilistic calibration 1sensor fusion 1uncertainty quantification 1

From the 1 of 3 linked papers with an AI index.

collaborators

3 papers

cs.CV2026

From Keypoints to Predictive Distributions: Post-Hoc Uncertainty for YOLO-Pose Models

Alexej Klushyn, Juan Rivero Sesma, Florian Seligmann +3

The paper adds a lightweight post‑hoc module to trained YOLO‑Pose models that predicts calibrated predictive distributions for each keypoint, enabling uncertainty‑aware ranking and…

cs.LG2026

VLA-FAIL: Efficient Task Failure Detection for Finetuned Vision-Language-Action Models

Florian Seligmann, Emiliyan Gospodinov, Enes Ulas Dincer +1

Vision-language-action models (VLAs) achieve state-of-the-art performance on many robotic manipulation tasks, yet they can still behave unpredictably in out-of-distribution scenari…

cs.LG2026

SEAR: Sample Efficient Action Chunking Reinforcement Learning

C. F. Maximilian Nagy, Onur Celik, Emiliyan Gospodinov +4

Action chunking improves exploration and accelerates value propagation in long-horizon reinforcement learning, but naively applying off-policy methods to the temporally extended ac…

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