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Home/Authors/Achal Dave

Achal Dave

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

12

papers

1,325

total citations

papers (12)

Measuring Robustness to Natural Distribution Shifts in Image Classification

NEURIPS 2020arXiv

TAO: A Large-Scale Benchmark for Tracking Any Object

Differentiable Raycasting for Self-Supervised Occupancy Forecasting

Do Image Classifiers Generalize Across Time?

Language models scale reliably with over-training and on downstream tasks

pix2gestalt: Amodal Segmentation by Synthesizing Wholes

Opening Up Open World Tracking

Detecting Invisible People

Understanding Video Transformers via Universal Concept Discovery

AllTracker: Efficient Dense Point Tracking at High Resolution

HandsOff: Labeled Dataset Generation With No Additional Human Annotations

Should VLMs be Pre-trained with Image Data?