Search Results for author:
Found 6 papers, 1 papers with code
Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering
Automated question answering (QA) over electronic health records (EHRs) can bridge critical information gaps for clinicians and patients, yet it demands both precise evidence retrieval and faithful answer generation under limited supervision.
Freestyle Sketch-in-the-Loop Image Segmentation
In this paper, we expand the domain of sketch research into the field of image segmentation, aiming to establish freehand sketches as a query modality for subjective image segmentation.
RICA2: Rubric-Informed, Calibrated Assessment of Actions
Central to our method lies in stochastic embeddings of action steps, defined on a graph structure that encodes the score rubric.
Ranked #1 on
Action Quality Assessment
on MTL-AQA
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
In this paper, we push the boundary further for FSCIL by addressing two key questions that bottleneck its ubiquitous application (i) can the model learn from diverse modalities other than just photo (as humans do), and (ii) what if photos are not readily accessible (due to ethical and privacy constraints).
class-incremental learning
Few-Shot Class-Incremental Learning
+3
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input
We scrutinise an important observation plaguing scene-level sketch research -- that a significant portion of scene sketches are "partial".
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network
The proposed model takes advantage of spatial-temporal attention and channel attention together, to learn deeper fine-grained subtle features for classification of emotions.
