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Pranav Maneriker

17 papers hereh-index 9407 citations36 works total

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

author position
  • first author3
  • middle author13

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.LG4
  • cs.CL3
  • cs.AI1
  • cs.CR1
  • cs.DB1
same name
  • Pranav Maneriker — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedLEAF-QA: Locate, Encode & Attend for Figure Question Answering

12 citations · 33 across the 15 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.RO2026

Toward Low-Latency Vision-Language Models with Doubly-Correct Predictions in Egocentric Visual Understanding

Qitong Wang, Fan Du, Pranav Maneriker +2

The rapid rise of Vision-Language Models (VLMs) in egocentric visual understanding has made low-latency inference in human-robot collaborative (HRC) tasks increasingly critical. We…

cs.CV2026

APT: Atomic Physical Transitions for Causal Video-Language Understanding

Shang Wu, Haoran Lu, Songling Liu +6

Physical events are not understood by their names alone, but by the causal state changes that compose them. A clip-level label such as "bounce" can be correct while hiding the proc…

cs.CV2026

PhyPrompt: RL-based Prompt Refinement for Physically Plausible Text-to-Video Generation

Shang Wu, Chenwei Xu, Zhuofan Xia +6

State-of-the-art text-to-video (T2V) generators frequently violate physical laws despite high visual quality. We show this stems from insufficient physical constraints in prompts r…

cs.CV2026

Towards Sparse Video Understanding and Reasoning

Chenwei Xu, Zhen Ye, Shang Wu +8

We present \revise (\underline{Re}asoning with \underline{Vi}deo \underline{S}parsity), a multi-round agent for video question answering (VQA). Instead of uniformly sampling frames…

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